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Speaker 1: Hey everyone, it's Robert and Joe here. Today we've got

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Speaker 1: something a little bit different to share with you. It

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Speaker 1: is a new season of the Smart Talks with IBM

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Speaker 1: podcast series.

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Speaker 2: Today we are witnessed to one of those rare moments

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Speaker 2: in history, the rise of an innovative technology with the

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Speaker 2: potential to radically transform business and society forever. The technology,

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Speaker 2: of course, is artificial intelligence, and it's the central focus

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Speaker 2: for this new season of Smart Talks with IBM.

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Speaker 1: Join hosts from your favorite Pushkin podcasts as they talk

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Speaker 1: with industry experts and leaders to explore how businesses can

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Speaker 1: integrate AI into their workflows and help drive real change

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Speaker 1: in this new era of AI. And of course, host

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Speaker 1: Malcolm Gladwell will be there to guide you through the

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Speaker 1: season and throw in his two cents as well.

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Speaker 2: Look out for new episodes of Smart Talks with IBM

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Speaker 2: every other week on the iHeartRadio app, Apple Podcasts, or

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Speaker 2: wherever you get your podcasts, and learn more at IBM

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Speaker 2: dot com slash smart talks.

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Speaker 3: Hello. Hello, Welcome to Smart Talk with IBM, a podcast

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Speaker 3: from Pushkin Industries, iHeartRadio and IBM. I'm Malcolm Glabwell. This

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Speaker 3: season we're diving back into the world of artificial intelligence,

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Speaker 3: but with a focus on the powerful concept of open

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Speaker 3: its possibilities, implications, and misconceptions. We'll look at openness from

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Speaker 3: a variety of angles and explore how the concept is

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Speaker 3: already reshaping industries, ways of doing business, and our very

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Speaker 3: notion of what's possible. On today's episode, doctor Lori Santos

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Speaker 3: sat down with two women at the forefront of AI

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Speaker 3: in education. Justina Nixon Saniel is Vice President and Chief

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Speaker 3: Impact Officer of IBM Corporate Social Responsibility, and April Dawson

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Speaker 3: is an Associate Dean of Technology and Innovation and Professor

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Speaker 3: of Law at North Carolina Central University School of Law. Together,

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Speaker 3: they explore the transformative impact of AI on education and

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Speaker 3: the workforce. As technology rapidly evolves, industries are being reshaped

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Speaker 3: and the demand for new skills is at an all

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Speaker 3: time high. This is opening up opportunities for diverse talent,

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Speaker 3: enabling individuals from various backgrounds to excel in roles they

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Speaker 3: might not have previously considered. They also address the ethical

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Speaker 3: considerations of AI, emphasizing the importance of maintaining a human

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Speaker 3: centered approach, whether you're a teacher or a student or

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Speaker 3: someone interested in the future of work, It's essential to

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Speaker 3: embrace the role of AI in the education landscape. AI

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Speaker 3: is not only changing the way we work, but also

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Speaker 3: how we learn, making education more accessible, personalized, and aligned

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Speaker 3: with the demands of the modern job market.

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Speaker 4: Justin Andennepel, so great to meet both of you. I'm

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Speaker 4: so excited for this conversation. Thank you for having me,

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Speaker 4: and thank you for.

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Speaker 5: Having me Justina.

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Speaker 4: To start, could you share some insights on your journey

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Speaker 4: to becoming IBM's Chief Impact Officer and how your background

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Speaker 4: in engineering shapes your approach to corporate social responsibility.

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Speaker 5: So I've had an interest in journey. I'm an immigrant.

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Speaker 5: I was one of the only black women who graduated

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Speaker 5: from my school's mechanical engineering program many many years ago.

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Speaker 5: I started my engineering career at a nuclear facility that's

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Speaker 5: around forty five miles outside of Buffalo, New York, and

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Speaker 5: eventually worked for one of the largest telecommunications companies in

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Speaker 5: the world in engineering, marketing, and eventually in corporate social responsibility.

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Speaker 5: I was hired to lead the organization away from traditional

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Speaker 5: philanthropy to creating platforms and solutions that leveraged four G

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Speaker 5: and five g technologies to positively impact disadvantaged communities, and

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Speaker 5: that is what has led me to the work that

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Speaker 5: I do at IBM today. I have the honor of

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Speaker 5: being the company's first Chief Impact Officer, and is such

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Speaker 5: a privilege and a responsibility to be at IBM, which

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Speaker 5: has such a huge history in sustainability, in social and

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Speaker 5: in the ethical space as well. When I consider how

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Speaker 5: my background in engineering ties into the work that I do,

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Speaker 5: I actually think engineers are very skilled at analyzing data

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Speaker 5: and at innovative problem solving. The other thing where there's

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Speaker 5: a lot of alignment with my engineering background is really

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Speaker 5: around how do I think about using technology to solve

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Speaker 5: some of the biggest issues that we have in society.

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Speaker 5: And I get very excited about innovating and creating and

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Speaker 5: leveraging technologies like AI and hybrid cloud to really bring

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Speaker 5: those into the work that we do and to solve

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Speaker 5: some of those big challenges that we have in society

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Speaker 5: today around sustainability and education.

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Speaker 4: That's fabulous, April, tell me about your path to becoming

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Speaker 4: Associate Dean of Technology and Innovation as well as a

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Speaker 4: professor in law.

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Speaker 6: So I am a child of an educator, actually educators

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Speaker 6: Both my parents are educators. I went to high school

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Speaker 6: where my mom taught, and it was in the eighties

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Speaker 6: and it was during that time period when teachers were

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Speaker 6: given Apple computers, so they were brand new. My mom

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Speaker 6: brought one home. I started playing with it. Then I

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Speaker 6: just kind of fell in love with the technology. I

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Speaker 6: received my undergraduate degree in computer science because of that

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Speaker 6: early exposure. I went to Bennett College here in Greensboro,

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Speaker 6: North Carolina. It's an HBCU, a historically black college and university.

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Speaker 6: I was a programmer after graduating from Bennett, and I've

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Speaker 6: always loved technology, but I also had a love for

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Speaker 6: the law. So after being a programmer for a couple

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Speaker 6: of years, I decided to go to law school. And

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Speaker 6: even as a lawyer, I leveraged technology in my private practice.

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Speaker 6: When I decided to begin teaching almost twenty years ago,

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Speaker 6: I would ask myself, how could I leverage a technology

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Speaker 6: to enhance my teaching to help the students better understand

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Speaker 6: the material. And so when our dean at the time,

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Speaker 6: Brownie Lewis, when she was able to facilitate a five

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Speaker 6: million dollar grant to North Carolina Central University School of Law,

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Speaker 6: we created the Technology Law and Policy Center, and she

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Speaker 6: asked me if I would be interested in serving as

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Speaker 6: the inaugural Associate Dean of Technology and Innovation. So suffice

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Speaker 6: it to say, I'm in my dream job. I'm able

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Speaker 6: to combine my love of technology, my love of law,

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Speaker 6: my love of education, and so it's really an exciting

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Speaker 4: I love that, April, what inspired you to integrate AI

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Speaker 4: and technology into your law curriculum.

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Speaker 6: It's interesting, As I mentioned before, I've always used it

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Speaker 6: personally as an educator, but the thought of teaching a

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Speaker 6: class that really kind of focused on technology and the

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Speaker 6: legal implications of that really occurred because Ray Thomas, who

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Speaker 6: was an IP lawyer and worked at IBM at the

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Speaker 6: time in twenty twenty so around the pandemic, he encouraged

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Speaker 6: us to take advantage of the IBM Skills Build training program,

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Speaker 6: the Train the Trainer program. So really, not until that

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Speaker 6: time period did I even really even think about teaching

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Speaker 6: a tech focused legal class. And during that time period,

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Speaker 6: a couple of my other colleagues and I we did

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Speaker 6: the Train the Trainer blockchain course. I did the data

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Speaker 6: science course, and then that next summer we team taught

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Speaker 6: the Blockchain for Lawyer's class, which we designed, and then

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Speaker 6: I taught a Data Science for Lawyers class, and so

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Speaker 6: that was, you know, really kind of the first iteration

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Speaker 6: of us really being intentional about teaching technology and law.

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Speaker 6: And then one of my other colleagues, doctor Savon Da Grady,

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Speaker 6: she is a professor at the School of Library and

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Speaker 6: Information Sciences here at NCCU. She reached out to me

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Speaker 6: and said, would you be interesting in teaching a joint

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Speaker 6: AI and the law class that would include her Masters

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Speaker 6: of Information Science students and my law students. So it's

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Speaker 6: a wonderful interdisciplinary class where you have master's students and

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Speaker 6: law students and we talk about the foundations of AI,

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Speaker 6: we talk about the legal implications of policy implications. And

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Speaker 6: so really this kind of all started because of the

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Speaker 6: resources that IBM have made available to NCCU.

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Speaker 4: That's so cool, and that class sounds amazing. I wish

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Speaker 4: I could like drop out of being a professor I

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Speaker 4: done this class. This sounds awesome. So this is a

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Speaker 4: question for both of you. In this age of AI

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Speaker 4: and open technology, does the role of education change? Are

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Speaker 4: we kind of at a different spot with what education

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Speaker 4: should be doing now.

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Speaker 5: When I look at the role of education today from

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Speaker 5: the corporate point of view, I think it does change.

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Speaker 5: I was having a discussion earlier today with some members

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Speaker 5: of my team, and we were discussing early professional hires,

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Speaker 5: so people would want to hire right out of college,

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Speaker 5: and one of the first things that I shared was

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Speaker 5: some of the tasks that they would have done previously

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Speaker 5: will be automated. We will be using AI for those

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Speaker 5: basic tasks that in the past we would have hired

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Speaker 5: an intern or a recent college graduate to do. And

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Speaker 5: it's so critical now that we look at higher level

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Speaker 5: types of tasks that we will need college graduates to do.

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Speaker 5: And I can foresee in the future hiring someone from

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Speaker 5: college who does not have at least a basic understanding

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Speaker 5: of AI. There will be some roles where they will

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Speaker 5: have to have an advanced understanding, especially if they're in

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Speaker 5: an engineering role or computer science role, but across the

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Speaker 5: board they will need to understand AI. So, when I

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Speaker 5: think about the way that education is changing, whether you're

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Speaker 5: a college student, whether you're an adult professional, you will

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Speaker 5: need to be a lifelong learner and you will need

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Speaker 5: to understand how to continuously upskill and reskill yourself to

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Speaker 5: be able to understand technologies like AI because of the

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Speaker 5: rapid acceleration of these types of technologies, and I think

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Speaker 5: that's very important. I think everyone has to be prepared,

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Speaker 5: if they're not doing it today, to upskill and reskill themselves.

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Speaker 5: And I can't foresee any roles in the future where

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Speaker 5: candidates will not need to have a very basic understanding

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Speaker 5: of AI or even advanced understanding of AI.

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Speaker 4: That's great, April. Let me ask you a slightly different

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Speaker 4: version of the question, what is the significance of AI

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Speaker 4: for students and young professionals today?

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Speaker 6: When we think about the disruption that JENAI especially has

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Speaker 6: caused within the legal profession, students have to be more

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Speaker 6: adept when it comes to feeling comfortable, being uncomfortable, and

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Speaker 6: learning something new. The other thing that I would just

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Speaker 6: kind of emphasize from an educational standpoint is this also

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Speaker 6: means that educators have to approach teaching differently. You know,

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Speaker 6: I've been teaching for going on twenty years and things

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Speaker 6: are kind of being turned on their heads somewhat right,

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Speaker 6: and I have had to upskill and reskill. We can't

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Speaker 6: teach that what we don't know, we can't monitor that

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Speaker 6: what we don't know. Just as the students have to

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Speaker 6: understand generative AI, the educators have to understand it as well.

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Speaker 4: Yeah, this is something I've felt in the classroom myself

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Speaker 4: as a psychology professor, right, is that I'm realizing how

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Speaker 4: much I need to kind of go back to school

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Speaker 4: and learn about all these AI tools, not just so

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Speaker 4: that I can teach it, but just so I can

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Speaker 4: understand how my students are using these things, right, but

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Speaker 4: also to figure out how I can enhance the educational

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Speaker 4: experience of my own students in psychology right by giving

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Speaker 4: them access to these tools. And so, yeah, I'm curious

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Speaker 4: in your experience, how does AI actually enhance the educationally

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Speaker 4: experience for your law students. And I'm curious if you

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Speaker 4: could give an example of the type of thing you

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Speaker 4: do in your classroom.

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Speaker 6: Yeah. So one of the things that I tell my

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Speaker 6: students is you got to get your hands dirty. You

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Speaker 6: can't understand these tools if you don't kind of dig

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Speaker 6: in and just see how they work. So one giving

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Speaker 6: them permission and encouraging them to do it in terms

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Speaker 6: of how they might be able to use these tools

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Speaker 6: to help them learn better. I encourage them to as

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Speaker 6: they're wrestling maybe with concepts that are confusing, they haven't

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Speaker 6: completely wrapped their heads around it. And when we think

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Speaker 6: about large language models, these tools are really helpful in

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Speaker 6: that sense. Right, if there's a passage in the book

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Speaker 6: and you're not quite following it, or there's a case

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Speaker 6: right and you need some assistance in breaking it down,

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Speaker 6: running that information through a large language model and then

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Speaker 6: asking questions about it can be really beneficial. Also in

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Speaker 6: the law school, the legal context, large languge models are

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Speaker 6: really helpful for that as well. But one thing I

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Speaker 6: do caution my students is that any understanding that you

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Speaker 6: think you have gained through the use of these tools,

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Speaker 6: you need to circle back to your professor and make

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Speaker 6: sure that your understanding is correct.

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Speaker 4: I love that, and I've seen the importance of that

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Speaker 4: in my own classroom too. You mentioned so many of

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Speaker 4: the things that these tools are great at, but I

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Speaker 4: think another thing that AI in the classroom can help

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Speaker 4: us with is democratizing the classroom. And so, Justina, I'm

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Speaker 4: curious in what ways do you think integrating AI into

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Speaker 4: education is help us going to bridge these gaps and

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Speaker 4: actually democratize access to education even more.

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Speaker 5: Yeah, I think it's going to really make a difference

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Speaker 5: in providing access to education in many different ways. I

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Speaker 5: want to give you an example. Through our IBM Skills

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Speaker 5: Bill program, we're infusing AI technology into the platform to

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Speaker 5: create a more personalized enhance experience for learners in every language.

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Speaker 5: So we are creating personalized learning pathways, we are tailoring

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Speaker 5: the access to our learners to meet their individual needs,

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Speaker 5: and we are also using AI to answer questions in

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Speaker 5: a more timely and accurate manner. If you really think

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Speaker 5: about it, you will need a significant staff to be

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Speaker 5: able to respond quickly to questions to make sure the

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Speaker 5: questions are accurate. With AI, we can answer questions immediately,

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Speaker 5: we can answer them in a more sophisticated way than

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Speaker 5: we did in the past, and we can also offer

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Speaker 5: cost recommendations and learning pathways that meet their needs. We

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Speaker 5: have courses such as AI Ethics and prompt Writing and

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Speaker 5: getting started with machine Learning, all the way to actually

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Speaker 5: use in coding to help create these large language models.

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Speaker 5: So when you think about the average learner that we

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Speaker 5: are working with, they may want just an introductory course

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Speaker 5: on AI ethics or understanding how to use AI in

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Speaker 5: their day to day work, or they actually may want

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Speaker 5: to understand how do you so really leverage a code

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Speaker 5: for a large language model, And I think it's important

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Speaker 5: to give them all the different options and create those

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Speaker 5: personalized learning pathways for them. The other thing around really

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Speaker 5: democratizing opportunities to provide free access to this kind of learning,

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Speaker 5: and we do that again through our Skills Bill program.

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Speaker 5: If you have courses that you can only pay to access,

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Speaker 5: then you're really not given the opportunity for everyone to

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Speaker 5: advance and to learn. So by leveraging AI on our

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Speaker 5: platform but also providing that free access, we're really helping

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Speaker 5: to breage the gap, you know, for learners and make

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Speaker 5: sure they can upskill and reskill themselves and help them

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Speaker 5: also increase social and economic mobility.

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Speaker 4: So it sounds like an amazing program. Justina, Can you

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Speaker 4: describe the vision behind IBM Skills Build and how it's

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Speaker 4: built to reach so many learners around the world.

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Speaker 2: Yeah.

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Speaker 5: So, IBM has always been committed to investing in the

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Speaker 5: future of work and with offered educational experiences for many,

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Speaker 5: many years. And IBM Skills Built is a program. Again,

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Speaker 5: it's free, it's open, anyone can access it, but it's

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Speaker 5: really around getting access to the right technical skills and

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Speaker 5: workplace learning skills so that you could be prepared for

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Speaker 5: a career in technology, but in any industry and any field.

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Speaker 5: We know now that understanding technology, understanding AI or cybersecurity

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Speaker 5: or any of those tech topics are needed whether you're

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Speaker 5: working in a tech company, or whether you're working in

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Speaker 5: retail or in legal or any of these different industries.

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Speaker 5: So we want to make sure we could provide that

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Speaker 5: access to learners. In twenty twenty one, we launched a

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Speaker 5: global commitment to skill thirty million people by twenty thirty

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Speaker 5: and we are making significant progress against that goal. Just

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Speaker 5: last year, we reported that we skilled eleven point five

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Speaker 5: million learners around the world, and these are learners that

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Speaker 5: enrolled in IBM courses, including access in our platform, IBM

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Speaker 5: Skills Build, and it's really the cornerstone of our education

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Speaker 5: work at IBM. We really focus on scaling our work

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Speaker 5: through partnerships. So we partner with historically black colleges and universities,

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Speaker 5: and that's how, of course, we got the chance to

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Speaker 5: meet April. We partner with nonprofit organizations across the globe.

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Speaker 5: We also partner with governments to make sure we provide

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Speaker 5: that free access to the communities that are aligned with

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Speaker 5: their national agenda around skill in and those communities that

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Speaker 5: are most in need. It's really important that we scale

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Speaker 5: the program through those premier partnerships, so that's extremely important

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Speaker 5: to us.

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Speaker 3: The vision behind IBM Skills Build is truly inspiring. In

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Speaker 3: a world where technology is changing every industry, having access

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Speaker 3: to these crucial skills is more important than ever. This

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Speaker 3: initiative is breaking down barriers and in suring that people

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Speaker 3: from all walks of life can participate in the future

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Speaker 3: of work. In order to effectively scale a platform, the

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Speaker 3: strategic collaborations with educational institutions, nonprofits and governments are key.

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Speaker 3: It's clear that IBM is deeply invested in creating long

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Speaker 3: lasting change in communities around the world. This approach will

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Speaker 3: strengthen the workforce globally, helping to bridge the digital divide

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Speaker 3: and create more equitable opportunities in the tech space.

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Speaker 4: So now we're shifting gears to think a little bit

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Speaker 4: about the real world insights. Justina, what can you tell

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Speaker 4: us about the skills first movement? This seems to be

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Speaker 4: an open approach to attracting top talent. What are you

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Speaker 4: hearing from students and partners.

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Speaker 6: Yeah.

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Speaker 5: So IBM has been leading the skills first movement for

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Speaker 5: quite some time. And one of the things that we realized,

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Speaker 5: and we actually tested this out, is that you don't

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Speaker 5: always need a four year degree to be successful at

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Speaker 5: a tech job. So when we looked at the job

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Speaker 5: postings that we had, we decided to make a commitment

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Speaker 5: to have at least fifty percent of our job postings

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Speaker 5: not requiring a four year degree. And when we started

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Speaker 5: hiring people without a four year degree in certain roles,

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Speaker 5: we realized that they were as successful as those with

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Speaker 5: a four year degree. Now, this doesn't work across the board,

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Speaker 5: but this is really a way to get access to

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Speaker 5: what I consider to be untapped talent that are skilled

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Speaker 5: in different ways. Maybe they've had some experiences already, maybe

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Speaker 5: they have a different set of badges and certificates or

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Speaker 5: other credentials that can support them getting access to some

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Speaker 5: of the roles that are offered by companies. So this

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Speaker 5: is really a way to help address the opportunity gap

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Speaker 5: and provide a pathway for diverse talent.

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Speaker 4: What impact do you think AI has had on global

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Speaker 4: learning standards broadly so far.

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Speaker 6: I think from the perspective of a law student realizing

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Speaker 6: that this little universe in which we kind of thought

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Speaker 6: we might operate has expanded. When we think about AI

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Speaker 6: and we think about the implications of AI, it goes

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Speaker 6: far beyond our state national I mean, you have to

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Speaker 6: have an understanding of what's going on in other countries.

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Speaker 6: So even when we're thinking about the regulation of AI

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Speaker 6: and the governance of AI and policies surrounding AI, it

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Speaker 6: means you have to be open to learning about what's

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Speaker 6: happening in other countries where AI is disrupting those spaces

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Speaker 6: as well. So again, I think it really underscores for

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Speaker 6: our law students how you have to see yourself as

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Speaker 6: part of a larger team. Lawyers don't work in isolation,

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Speaker 6: and it's really good that law students are recognizing that

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Speaker 6: while they're still in school.

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Speaker 4: So it really seems like these technologies are kind of

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Speaker 4: changing the learning experience in law by making kind of

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Speaker 4: broader and maybe more global. Justin can you share any

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Speaker 4: example of how IBM Skills build has made a significant

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Speaker 4: difference in other kinds of learning journeys?

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Speaker 2: Yeah?

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Speaker 5: Absolutely, I mean this is one of the most rewarding

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Speaker 5: parts of my job. What I get excited about is

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Speaker 5: when I travel and I meet with students who have

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Speaker 5: been a part of IBM Skills Build and they have

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Speaker 5: been able to use the learning, the certificates, the opportunities

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Speaker 5: that we've provided them around mentorship as well to be

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Speaker 5: able to move into a better paying job or a

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Speaker 5: new job that they did not have the opportunity previously.

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Speaker 5: We had one of our learners, his name was Oscar

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Speaker 5: and he arrived in California from Mexico when he was

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Speaker 5: around five years old and he worked and he attended

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Speaker 5: college full time. But during his last semester, he was

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Speaker 5: introduced to the IBM Skills Build program through the Hispanic

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Speaker 5: Heritage Foundation, one of our partners, and through the career

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Speaker 5: assessment tool of the program, he identified areas where he

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Speaker 5: could excel and it allowed him to dig deeper into

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Speaker 5: learning paths that match his interests and his skills. So

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Speaker 5: he started taking cosses such as AI Fundamentals, he earned credentials,

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Speaker 5: and he was able to get a better role when

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Speaker 5: he graduated from college. So we have so many beneficiaries

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Speaker 5: of the program who have been able to access the training,

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Speaker 5: also access the mentorship that we provide through the program

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Speaker 5: and able to get a better pain on new job

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Speaker 5: because of it.

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Speaker 4: That's fabulous, April. I know your students have used IBM

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Speaker 4: skills builled. Can you give us an example of how

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Speaker 4: it's made an important impact on a student's journey.

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Speaker 6: Yes, absolutely so. I mentioned that we taught a Blockchain

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Speaker 6: for Lawyers class and one of the students had a

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Speaker 6: big interest in blockchain cryptocurrency. He actually also had a

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Speaker 6: master's in information science and so he was a dual

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Speaker 6: degree student. He was also in my AI and the

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Speaker 6: law class, so he not only got the blockchain certificate,

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Speaker 6: he got the AI Foundation certificate. It he wound up

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Speaker 6: being the editor in chief of the law journal and

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Speaker 6: he is a legal tech lawyer. And so this kind

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Speaker 6: of goes back to what Justina was saying about making

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Speaker 6: sure that the talent that's there has access to the resources.

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Speaker 6: It really does make a big difference in so many

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Speaker 6: of our students' lives.

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Speaker 4: That's such an inspiring story, Justina. I'm curious what impact

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Speaker 4: Skills Build has had on the communities you work with,

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Speaker 4: maybe even beyond just students.

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Speaker 5: Yeah, so it has had a tremendous impact in our communities.

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Speaker 5: I think one of the big things about digital skills

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Speaker 5: and upskill in and reskilling is not just in certain areas.

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Speaker 5: For example, I mentioned the story of Oscar who was

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Speaker 5: graduating from college got access to Skills Build. It helped

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Speaker 5: him get a better paying job. But we have programs

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Speaker 5: in sustainability as well where we are working with farmers

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Speaker 5: in the middle of Texas and we are providing access

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Speaker 5: to skills Build as well so that they can use

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Speaker 5: the technology and understand the technology that we are bringing

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Speaker 5: to them throughout Sustainability Accelerator program. And what's so interesting

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Speaker 5: about this is we need to upskill and reskill them

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Speaker 5: as well. Right, So if you think about certain jobs

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Speaker 5: where you just need to better understand the data or

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Speaker 5: the technology, our partnerships with nonprofits to be able to

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Speaker 5: bring it to people in different fields, and sustainability is

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Speaker 5: one that we focus on as well that has been

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Speaker 5: inspiring to me. We also have programs where we focus

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Speaker 5: on girls, especially in India, and make sure we're giving

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Speaker 5: them access to this kind of training and mentorship again

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Speaker 5: to make them competitive in the marketplace, to make sure

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Speaker 5: that they have an opportunity at a good paying job

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Speaker 5: and that they could be independent. So our global partners

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Speaker 5: work with us on leveraging skills, build curating it in

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Speaker 5: a way that makes sense for their communities that they

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Speaker 5: want to impact. And we focus on women who have

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Speaker 5: left the work and they want to return. We focus

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Speaker 5: on veterans. We focus on black communities in the US

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Speaker 5: or Hispanic communities. So we really look at those really

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Speaker 5: great global partnerships and make sure we are bringing in

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Speaker 5: people who would have been otherwise left out of the

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Speaker 5: tech field and giving them the opportunity to reskill and

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Speaker 5: upskill themselves, and helping them through our partnerships, connect to

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Speaker 5: good paying jobs as well.

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Speaker 4: So so far we've been focused on students in their learning,

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Speaker 4: but now I want to turn to both of your learning.

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Speaker 4: I'm curious, what are some challenges that you've faced in

441
00:25:34,240 --> 00:25:36,359
Speaker 4: your careers and how have you overcome them?

442
00:25:36,840 --> 00:25:40,600
Speaker 6: Yeah. Sure. So one of the things that I quickly

443
00:25:40,640 --> 00:25:44,119
Speaker 6: found out was that law school was not as I envisioned.

444
00:25:44,200 --> 00:25:46,120
Speaker 6: You kind of go in, you think it's one thing,

445
00:25:46,160 --> 00:25:49,680
Speaker 6: it's another. The curriculum can be very surprising. It's not

446
00:25:49,880 --> 00:25:54,680
Speaker 6: like the undergraduate curriculum. And I just had to kind

447
00:25:54,680 --> 00:25:58,960
Speaker 6: of reach out and develop mentors. And I was very

448
00:25:59,040 --> 00:26:03,520
Speaker 6: lucky in that I had a number of individuals who

449
00:26:03,560 --> 00:26:06,960
Speaker 6: provided me with a tremendous amount of support, and I

450
00:26:06,960 --> 00:26:09,159
Speaker 6: think that's one of the reasons why I love teaching

451
00:26:09,200 --> 00:26:12,680
Speaker 6: so much, is to be able to support the students

452
00:26:13,320 --> 00:26:15,600
Speaker 6: and just help them kind of build their community and

453
00:26:15,640 --> 00:26:18,760
Speaker 6: their network so they can excel and then they can

454
00:26:18,800 --> 00:26:21,080
Speaker 6: reach back and help others excel as well.

455
00:26:22,200 --> 00:26:24,880
Speaker 4: I love that. Justina, same question. What are some key

456
00:26:24,960 --> 00:26:27,040
Speaker 4: challenges that you've faced in your career and how have

457
00:26:27,160 --> 00:26:27,800
Speaker 4: you overcome them?

458
00:26:27,920 --> 00:26:32,399
Speaker 5: Yeah, I'm smiling because what April mentioned is exactly the

459
00:26:32,480 --> 00:26:35,320
Speaker 5: experience I've had. I was one of the only black

460
00:26:35,359 --> 00:26:39,800
Speaker 5: women to graduate from my school's mechanical engineering program, and

461
00:26:40,440 --> 00:26:43,960
Speaker 5: when my children were very young, I also stepped away

462
00:26:43,960 --> 00:26:47,359
Speaker 5: from the workforce for several years to focus on them.

463
00:26:47,880 --> 00:26:51,639
Speaker 5: And I don't think I would be successful today without

464
00:26:51,640 --> 00:26:54,680
Speaker 5: the help of mentors. They're the ones that really helped

465
00:26:54,720 --> 00:26:58,080
Speaker 5: me to be successful, to understand the corporate environment, to

466
00:26:59,000 --> 00:27:02,720
Speaker 5: connect me with with other opportunities, and I think it's

467
00:27:02,760 --> 00:27:06,720
Speaker 5: important to me to make myself available to others, and

468
00:27:06,760 --> 00:27:09,080
Speaker 5: that's a really big part of what I do. I

469
00:27:09,119 --> 00:27:13,439
Speaker 5: want to make myself at my field more representative of

470
00:27:13,480 --> 00:27:14,960
Speaker 5: the work that we do and I want to make

471
00:27:14,960 --> 00:27:18,840
Speaker 5: sure that I provide access to others and give others

472
00:27:18,880 --> 00:27:21,960
Speaker 5: the same types of opportunities I have, and that's why

473
00:27:22,160 --> 00:27:25,439
Speaker 5: I do enjoy leading this type of work at IBM.

474
00:27:25,960 --> 00:27:28,000
Speaker 4: Here here to both of you giving back to the

475
00:27:28,040 --> 00:27:31,639
Speaker 4: students that we were back in the day. It's so important, Justina.

476
00:27:31,720 --> 00:27:34,480
Speaker 4: IBM has a goal of equipping thirty million learners with

477
00:27:34,560 --> 00:27:37,520
Speaker 4: technology skills by twenty thirty as part of the IBM

478
00:27:37,680 --> 00:27:41,840
Speaker 4: Skills Build programming. Why is this initiative important and how

479
00:27:41,920 --> 00:27:44,080
Speaker 4: is IBM planning to exactly achieve this.

480
00:27:44,800 --> 00:27:47,320
Speaker 5: Yeah, we believe the talent gap is one of the

481
00:27:47,320 --> 00:27:51,280
Speaker 5: biggest challenges that we face in society today. So AI

482
00:27:51,680 --> 00:27:55,040
Speaker 5: of course is accelerating this movement and there's more of

483
00:27:55,080 --> 00:27:58,520
Speaker 5: a sense of urgency. However, we know that there is

484
00:27:58,560 --> 00:28:01,959
Speaker 5: a significant talent gap and that there are many people

485
00:28:02,160 --> 00:28:05,040
Speaker 5: that are disadvantage who are not getting access to the

486
00:28:05,119 --> 00:28:08,240
Speaker 5: right opportunities, and that's why we made the commitment to

487
00:28:08,280 --> 00:28:11,440
Speaker 5: skill thirty million people by twenty thirty, and that's why

488
00:28:11,440 --> 00:28:15,000
Speaker 5: we're providing free access to programs like IBM Skills Build

489
00:28:15,640 --> 00:28:18,800
Speaker 5: with over a thousand courses in twenty languages, to make

490
00:28:18,840 --> 00:28:22,240
Speaker 5: them accessible to all and to give others the chance

491
00:28:22,400 --> 00:28:26,240
Speaker 5: to be successful. Last year, we also announced the commitment

492
00:28:26,320 --> 00:28:29,920
Speaker 5: to train two million people in AI over the next

493
00:28:29,960 --> 00:28:34,160
Speaker 5: three years, because again we understand the importance of AI

494
00:28:34,240 --> 00:28:38,760
Speaker 5: and understanding it to be successful in any job, especially

495
00:28:38,800 --> 00:28:42,320
Speaker 5: an entry level job. So we're continuing to expand our

496
00:28:42,400 --> 00:28:47,800
Speaker 5: AI offerings because we know that it is exacerbating the

497
00:28:47,960 --> 00:28:51,160
Speaker 5: talent gap and we know that these skills will be

498
00:28:51,240 --> 00:28:54,720
Speaker 5: in demand significantly by corporations.

499
00:28:55,200 --> 00:28:57,800
Speaker 4: So, April, Justina just mentioned, you know, all the changes

500
00:28:57,800 --> 00:29:00,120
Speaker 4: that we're seeing at AI. I'm curious what role you

501
00:29:00,160 --> 00:29:03,160
Speaker 4: think educators play in terms of making students aware of

502
00:29:03,200 --> 00:29:06,720
Speaker 4: all these technological and societal changes happening in their fields.

503
00:29:07,240 --> 00:29:10,640
Speaker 6: Yeah, educators are so vital. And one of the things

504
00:29:10,640 --> 00:29:14,440
Speaker 6: that I've noticed is that students who have not engaged

505
00:29:14,480 --> 00:29:18,480
Speaker 6: with the tech have not done so either because an educator,

506
00:29:18,560 --> 00:29:22,040
Speaker 6: a teacher or professor has told them not to that

507
00:29:22,280 --> 00:29:24,400
Speaker 6: you know, they just say, you know, no, you can't

508
00:29:24,520 --> 00:29:26,960
Speaker 6: use it, or they haven't said anything at all, They

509
00:29:27,000 --> 00:29:30,719
Speaker 6: haven't encouraged them to look into it to try it.

510
00:29:31,120 --> 00:29:36,120
Speaker 6: And we have to encourage students to become familiar with

511
00:29:36,160 --> 00:29:39,160
Speaker 6: these tools for all the reasons that Justina mentioned in

512
00:29:39,240 --> 00:29:43,160
Speaker 6: terms of what the workforce is demanding. But also if

513
00:29:43,160 --> 00:29:46,760
Speaker 6: we don't provide them with guidance, then there's the real

514
00:29:46,880 --> 00:29:50,640
Speaker 6: chance that they will use them inappropriately. So we have

515
00:29:50,760 --> 00:29:55,480
Speaker 6: to provide them with permission to dive in. We have

516
00:29:55,600 --> 00:30:00,160
Speaker 6: to teach them how to use these tools ethically, with integrity,

517
00:30:00,360 --> 00:30:03,320
Speaker 6: what are the best practices? And again that kind of

518
00:30:03,360 --> 00:30:06,480
Speaker 6: goes back to something I mentioned before, which I speak

519
00:30:06,520 --> 00:30:10,520
Speaker 6: about a lot, is that it requires educators to themselves

520
00:30:10,840 --> 00:30:13,560
Speaker 6: learn about these tools. And that's one of the reasons

521
00:30:13,600 --> 00:30:17,720
Speaker 6: why I was so appreciative of the trainer program because

522
00:30:17,760 --> 00:30:21,680
Speaker 6: again we started offering courses at the Law School, because

523
00:30:22,320 --> 00:30:25,760
Speaker 6: these courses were provided free of charge, of course to

524
00:30:25,960 --> 00:30:30,600
Speaker 6: our faculty, so we were able to upskill and reskill

525
00:30:30,800 --> 00:30:33,560
Speaker 6: and then turn around and share that with our students.

526
00:30:33,920 --> 00:30:37,400
Speaker 6: So educators are vital. But I also think that we

527
00:30:37,480 --> 00:30:40,680
Speaker 6: need to make sure we do a better job as

528
00:30:40,720 --> 00:30:44,840
Speaker 6: a society of supporting our educators so that they can

529
00:30:44,880 --> 00:30:48,320
Speaker 6: gain the knowledge and then pay that forward to the students.

530
00:30:49,240 --> 00:30:52,240
Speaker 4: Right because not everybody's providing the kinds of free resources

531
00:30:52,240 --> 00:30:56,320
Speaker 4: the IBM provides. We're teachers who really need it. April

532
00:30:56,480 --> 00:30:59,480
Speaker 4: in what ways has IBM Skills Build changed your perspective

533
00:30:59,560 --> 00:31:01,840
Speaker 4: on the potential of AI and education.

534
00:31:02,520 --> 00:31:04,760
Speaker 6: Well as far as the potential, it makes it so

535
00:31:04,840 --> 00:31:08,680
Speaker 6: much easier, right, I mean, it lightens the lift for educators.

536
00:31:08,760 --> 00:31:14,840
Speaker 6: If I had to design the AI Foundations class, you know,

537
00:31:15,120 --> 00:31:17,880
Speaker 6: ground up, there's no way I could have done that.

538
00:31:18,080 --> 00:31:22,120
Speaker 6: And if we're thinking about exposing students, regardless of their

539
00:31:22,240 --> 00:31:28,080
Speaker 6: area of study to AI or to technology, those that

540
00:31:28,160 --> 00:31:32,160
Speaker 6: are experts in those particular spaces, they're not going to

541
00:31:32,240 --> 00:31:36,440
Speaker 6: be able to build those courses. So having something like

542
00:31:36,520 --> 00:31:40,160
Speaker 6: IBM Skills Build available so that we can you know,

543
00:31:40,280 --> 00:31:43,360
Speaker 6: design a course around those modules that are already put

544
00:31:43,360 --> 00:31:46,960
Speaker 6: together is incredibly helpful. And so it means the potential

545
00:31:47,120 --> 00:31:51,480
Speaker 6: of providing AI education to all students. It just really

546
00:31:51,560 --> 00:31:54,800
Speaker 6: increases the possibility, which is good for all of us.

547
00:31:56,320 --> 00:31:58,640
Speaker 4: Justina, as you think about your work at IBM, how

548
00:31:58,680 --> 00:32:01,560
Speaker 4: do you balance the need for technological innovation with the

549
00:32:01,600 --> 00:32:04,760
Speaker 4: importance of maintaining a human centered approach and education.

550
00:32:05,320 --> 00:32:09,960
Speaker 5: I really like how April touched on ethics earlier, because

551
00:32:10,040 --> 00:32:13,360
Speaker 5: it is so important that we continue to make sure

552
00:32:13,400 --> 00:32:15,520
Speaker 5: the human is at the center of everything that we

553
00:32:15,600 --> 00:32:19,280
Speaker 5: do and that we are protecting people. Even as we

554
00:32:19,440 --> 00:32:23,640
Speaker 5: foster innovation with AI and the way that IBM has

555
00:32:23,720 --> 00:32:28,080
Speaker 5: done that, we've had reasonable policies and guardrails in place

556
00:32:28,560 --> 00:32:32,000
Speaker 5: around everything that we do around AI. I'm actually a

557
00:32:32,040 --> 00:32:34,400
Speaker 5: part of our AI Ethics Board. We meet on a

558
00:32:34,400 --> 00:32:39,880
Speaker 5: regular basis to discuss cases, to discuss technology, and we

559
00:32:40,040 --> 00:32:44,680
Speaker 5: actually have discussions and make decisions on what is the

560
00:32:44,800 --> 00:32:48,360
Speaker 5: right thing to do, and we are always considering a

561
00:32:48,440 --> 00:32:51,440
Speaker 5: human centered approach. How do we make sure that we

562
00:32:51,480 --> 00:32:54,040
Speaker 5: are protecting people and how do we make sure that

563
00:32:54,640 --> 00:32:57,520
Speaker 5: we have their voice in every decision that we make.

564
00:32:58,040 --> 00:33:02,520
Speaker 5: We have three principles around trust and transparency, and the

565
00:33:02,560 --> 00:33:07,360
Speaker 5: first is the purpose of AI is to augment human intelligence,

566
00:33:07,520 --> 00:33:11,040
Speaker 5: not replace it. The second is that data and insights

567
00:33:11,160 --> 00:33:14,080
Speaker 5: belong to their creators, So with anyone that we work with,

568
00:33:14,560 --> 00:33:17,880
Speaker 5: we make sure that we protect their data insights and

569
00:33:17,960 --> 00:33:20,719
Speaker 5: it belongs to them, it doesn't belong to us. And

570
00:33:20,760 --> 00:33:26,160
Speaker 5: then any new technology, including any AI products, systems, platforms,

571
00:33:26,600 --> 00:33:31,120
Speaker 5: must be transparent and explainable. So I think that's important

572
00:33:31,120 --> 00:33:33,440
Speaker 5: to have those types of principles in place. I'm proud

573
00:33:33,480 --> 00:33:35,800
Speaker 5: to be a part of the AI Ethics Board making

574
00:33:35,840 --> 00:33:40,960
Speaker 5: decisions around how AI is deployed, and I think making

575
00:33:41,000 --> 00:33:44,200
Speaker 5: sure that we continue to keep humans people at the

576
00:33:44,240 --> 00:33:47,440
Speaker 5: center of every decision we make around innovation is how

577
00:33:47,480 --> 00:33:48,800
Speaker 5: we protect them.

578
00:33:49,320 --> 00:33:51,800
Speaker 4: So we've talked so much about all the changes that

579
00:33:51,840 --> 00:33:53,920
Speaker 4: are happening right now. Justin know, I kind of want

580
00:33:53,960 --> 00:33:56,320
Speaker 4: you to put on your like, you know, future prediction cap.

581
00:33:56,640 --> 00:33:59,280
Speaker 4: What future developments do you anticipate in the realm of

582
00:33:59,320 --> 00:34:00,240
Speaker 4: open education.

583
00:34:01,000 --> 00:34:03,760
Speaker 5: I think that and I've been in education a very

584
00:34:03,760 --> 00:34:06,960
Speaker 5: long time, and I remember us talking about personalized learning

585
00:34:07,840 --> 00:34:11,440
Speaker 5: maybe ten years fifteen years ago, and I'm not sure

586
00:34:11,960 --> 00:34:15,520
Speaker 5: it ever came to fruition in the way that we imagined.

587
00:34:16,120 --> 00:34:20,200
Speaker 5: And we know that the teacher will always be the guide.

588
00:34:20,200 --> 00:34:22,480
Speaker 5: They will always be the one that's needed. I don't

589
00:34:22,520 --> 00:34:26,239
Speaker 5: think any technology will ever replace teachers, But I think

590
00:34:26,280 --> 00:34:30,360
Speaker 5: what AI can do is enhanced that experience by really

591
00:34:30,440 --> 00:34:36,520
Speaker 5: creating personalized learning content and experiences in the education space.

592
00:34:36,960 --> 00:34:38,640
Speaker 5: I think that is one of the things that I

593
00:34:38,680 --> 00:34:41,879
Speaker 5: would say should be something we see in the very

594
00:34:41,880 --> 00:34:45,040
Speaker 5: near future around the acceleration of AI.

595
00:34:46,239 --> 00:34:48,800
Speaker 4: April, You've done so much elegant work teaching your students

596
00:34:48,800 --> 00:34:52,239
Speaker 4: about AI and technology. I'm curious what advice you have

597
00:34:52,360 --> 00:34:55,640
Speaker 4: for other educators and technologists looking to advocate for a

598
00:34:55,680 --> 00:34:58,880
Speaker 4: skills first approach or more AI training for their students,

599
00:34:58,960 --> 00:35:01,120
Speaker 4: what advice will you have for with them?

600
00:35:01,320 --> 00:35:03,839
Speaker 6: The first piece of advice that I always give is

601
00:35:03,880 --> 00:35:07,520
Speaker 6: don't feel overwhelmed because you can. I mean, there's a

602
00:35:07,560 --> 00:35:10,040
Speaker 6: lot going on. It's hard to keep up with how

603
00:35:10,080 --> 00:35:12,160
Speaker 6: fast things are moving, even for those of us that

604
00:35:12,600 --> 00:35:15,520
Speaker 6: love this space. You don't have to do everything at once,

605
00:35:15,840 --> 00:35:19,480
Speaker 6: just you know, baby steps, and that's that's absolutely fine.

606
00:35:19,719 --> 00:35:20,040
Speaker 6: Thank you.

607
00:35:20,080 --> 00:35:21,520
Speaker 4: As a professor, I have to say I needed to

608
00:35:21,560 --> 00:35:24,359
Speaker 4: hear that, so giving myself grace taking that one to heart.

609
00:35:24,719 --> 00:35:28,399
Speaker 6: In fact, I have in my PowerPoint presentation the first

610
00:35:28,400 --> 00:35:30,640
Speaker 6: slide I put up is of a turtle and it

611
00:35:30,680 --> 00:35:33,000
Speaker 6: says slow your role. And it's like, I'm going to

612
00:35:33,080 --> 00:35:35,080
Speaker 6: be talking about a lot of things, but I want

613
00:35:35,080 --> 00:35:38,240
Speaker 6: you to remember this slide, just slow your role. It's okay.

614
00:35:38,560 --> 00:35:42,399
Speaker 6: The other thing that I encourage professors to do is

615
00:35:42,480 --> 00:35:45,920
Speaker 6: to join an educator community group. And there are a

616
00:35:46,040 --> 00:35:48,960
Speaker 6: lot that have popped up as a result of jin

617
00:35:49,040 --> 00:35:51,640
Speaker 6: ai and the disruption that we're seeing just in the

618
00:35:51,800 --> 00:35:55,319
Speaker 6: education space, and so how can we crowd source our

619
00:35:55,560 --> 00:35:59,080
Speaker 6: advice without a doubt. If you're thinking about a particular

620
00:35:59,120 --> 00:36:03,080
Speaker 6: assignment and how you might use Jenai in crafting that

621
00:36:03,160 --> 00:36:07,440
Speaker 6: assignment or incorporating it in the assessment, there is a

622
00:36:07,480 --> 00:36:11,000
Speaker 6: professor out there who has either already done it or

623
00:36:11,000 --> 00:36:13,880
Speaker 6: they're also thinking about it. So you know, let's be

624
00:36:14,040 --> 00:36:18,320
Speaker 6: more collaborative. And I will say that's been really wonderful

625
00:36:18,400 --> 00:36:23,040
Speaker 6: for me as a law professor, being able to collaborate

626
00:36:23,160 --> 00:36:27,640
Speaker 6: with professors from other disciplines. And the last thing that

627
00:36:27,719 --> 00:36:30,720
Speaker 6: I would say, you know, sometimes it can be hard

628
00:36:30,880 --> 00:36:37,120
Speaker 6: to convince your colleagues within your institution to be progressive,

629
00:36:37,560 --> 00:36:40,879
Speaker 6: and if you can bring an outside speaker to come

630
00:36:40,920 --> 00:36:43,640
Speaker 6: in and kind of just share what's going on, that

631
00:36:43,760 --> 00:36:47,360
Speaker 6: can oftentimes get people moving even if you within the

632
00:36:47,400 --> 00:36:50,799
Speaker 6: building aren't able to get that same traction. So those

633
00:36:50,840 --> 00:36:53,080
Speaker 6: are kind of the three pieces of advice that I'll

634
00:36:53,120 --> 00:36:54,480
Speaker 6: typically give professors.

635
00:36:55,600 --> 00:36:57,920
Speaker 4: So this has been a fabulous conversation that we are

636
00:36:57,960 --> 00:37:00,840
Speaker 4: reaching the end of our time. But before we rap,

637
00:37:01,120 --> 00:37:06,080
Speaker 4: let's do a speed round. Ready, first question April first,

638
00:37:06,400 --> 00:37:10,320
Speaker 4: complete this sentence. In five years, AI will blank.

639
00:37:11,520 --> 00:37:18,000
Speaker 6: In five years, AI will be more fully leveraged to

640
00:37:18,160 --> 00:37:23,000
Speaker 6: help lawyers better serve their clients. More efficiently and will

641
00:37:23,040 --> 00:37:25,600
Speaker 6: help close the access to justice gap.

642
00:37:26,920 --> 00:37:29,440
Speaker 4: Nice justin the same question.

643
00:37:29,920 --> 00:37:34,759
Speaker 5: In five years, AI will have disrupted every industry and

644
00:37:34,840 --> 00:37:38,279
Speaker 5: there would have been significant advancements made in education and

645
00:37:38,320 --> 00:37:40,200
Speaker 5: sustainability with the use of AI.

646
00:37:41,360 --> 00:37:44,360
Speaker 4: Okay, speed round question number two. What is the number

647
00:37:44,400 --> 00:37:47,160
Speaker 4: one thing that people misunderstand about AI?

648
00:37:47,640 --> 00:37:51,400
Speaker 5: Justin at you first, The number one misunderstanding about AI

649
00:37:51,520 --> 00:37:54,439
Speaker 5: is that it's going to destroy everyone's jobs. I think

650
00:37:54,480 --> 00:37:58,879
Speaker 5: that people with AI skills or understanding of AI will

651
00:37:58,880 --> 00:38:00,600
Speaker 5: have some advantages in the workplace.

652
00:38:01,239 --> 00:38:01,719
Speaker 4: April.

653
00:38:02,160 --> 00:38:07,000
Speaker 6: The number one thing people misunderstand about AI is that

654
00:38:07,239 --> 00:38:13,799
Speaker 6: only computer scientists or mathematicians or engineers can understand it.

655
00:38:14,480 --> 00:38:17,759
Speaker 6: You can gain an understanding again through baby steps, and

656
00:38:17,760 --> 00:38:22,560
Speaker 6: there are so many resources available. If you explore the

657
00:38:22,600 --> 00:38:25,839
Speaker 6: information and bite sized pieces, you can begin to wrap

658
00:38:25,880 --> 00:38:26,600
Speaker 6: your head around it.

659
00:38:27,400 --> 00:38:30,319
Speaker 4: Okay, next speed around question, what advice would you give

660
00:38:30,360 --> 00:38:33,720
Speaker 4: yourself ten years ago to better prepare you for today?

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Speaker 5: Justina you first, The advice I would give myself ten

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00:38:37,200 --> 00:38:42,960
Speaker 5: years ago is to continue learning. I always love understanding technology.

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00:38:43,160 --> 00:38:47,040
Speaker 5: I always dove deep into whether it's machine learning or

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Speaker 5: four G and five G technologies. Understanding AI and hybrid

665
00:38:51,440 --> 00:38:54,960
Speaker 5: cloud today is something that I also enjoy doing, so

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00:38:55,200 --> 00:38:58,760
Speaker 5: I would say continue learning, continue diving into these technologies,

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00:38:59,320 --> 00:39:04,360
Speaker 5: continue understanding what it means for you and your future career, April.

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00:39:05,440 --> 00:39:09,960
Speaker 6: Be more interdisciplinary, so stay current with the evolution of

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00:39:10,000 --> 00:39:15,640
Speaker 6: computer science, but also incorporate the study of data and

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00:39:15,719 --> 00:39:20,800
Speaker 6: ethics and sociology because the challenges they're opposed by AI

671
00:39:21,320 --> 00:39:26,080
Speaker 6: they're multifaceted and you have to have an understanding in

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00:39:26,160 --> 00:39:30,440
Speaker 6: these areas to really address the promise and the challenges

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00:39:30,480 --> 00:39:30,840
Speaker 6: of AI.

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Speaker 4: Final speed round question, how are you already using AI

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00:39:35,280 --> 00:39:36,760
Speaker 4: in your day to day life today?

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Speaker 2: April.

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00:39:38,200 --> 00:39:41,000
Speaker 6: So I use it in my teaching. The other way

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00:39:41,080 --> 00:39:43,319
Speaker 6: that I plan on using it in the future is

679
00:39:43,400 --> 00:39:46,799
Speaker 6: serving the students and then using the data analysis tool

680
00:39:47,280 --> 00:39:51,200
Speaker 6: to help me gather that information and figure out how

681
00:39:51,280 --> 00:39:54,840
Speaker 6: best to address the information that I've received from my students.

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Speaker 5: Nice, Justina, Yeah, So the way that we're using AI

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00:39:59,400 --> 00:40:04,480
Speaker 5: today is to actually analyze complex and large data sets

684
00:40:04,520 --> 00:40:08,799
Speaker 5: in our sustainability work to provide insights to some of

685
00:40:08,880 --> 00:40:14,160
Speaker 5: our partners on how they can increase crop yield, for example,

686
00:40:14,680 --> 00:40:18,480
Speaker 5: or how they can deliver clean energy solutions to rural areas.

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00:40:18,520 --> 00:40:21,920
Speaker 5: So we actively using it in the programs that we

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00:40:22,040 --> 00:40:26,960
Speaker 5: have within our corporate Social Responsibility portfolio and also integrating

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Speaker 5: it into our Skills Bill platform.

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Speaker 4: Well, thank you both so much. You did excellent in

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Speaker 4: the speed round, but it was just so fabulous to

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Speaker 4: talk to you both today. I think this is a

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Speaker 4: time of so many exciting challenges in the field of education,

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Speaker 4: and it was fabulous to hear more about how AI

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Speaker 4: and IBM Skills Build and so many technologies can help

696
00:40:45,640 --> 00:40:47,920
Speaker 4: us out. Thank you both so much for this fun conversation.

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Speaker 5: Thank you for having us. It was great.

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Speaker 6: Yes, thank you, Thank you.

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Speaker 3: What an insightful conversation with Justina and April. This discussion

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Speaker 3: demonstrated how technology and education can intersect to create a

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Speaker 3: meaningful impact in today's educational landscape. Students must utilize AI

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Speaker 3: in the classroom in order to prepare for the modern workforce,

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00:41:12,520 --> 00:41:16,800
Speaker 3: and educators must use the technology, including IBM Skills Build,

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Speaker 3: to train students for the complexities of tomorrow's challenges. As

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Speaker 3: April and Justina emphasized, impact starts by centering the humans

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Speaker 3: using the tool. Ensuring their empowered to access, adopt, and

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Speaker 3: excel with the technology is just as critical as the

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Speaker 3: power of the tool itself. Justina and April's work is

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Speaker 3: a powerful reminder that as we continue to integrate AI

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Speaker 3: technology into our educational systems, we have the opportunity to

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Speaker 3: create more equitable and accessible learning environments. It's clear that

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Speaker 3: the future of learning and technology is bright and the

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Speaker 3: adoption of AI is crucial in shaping that future. Smart

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Speaker 3: Talks with IBM is produced by Matt Romano, Joey fish Ground,

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00:42:04,840 --> 00:42:09,280
Speaker 3: Amy Gains McQuaid, and Jacob Goldstein or edited by Lydia

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00:42:09,480 --> 00:42:13,560
Speaker 3: gene Kott. Our engineers are Sarah Bugaer and Ben Tolliday.

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00:42:13,960 --> 00:42:17,239
Speaker 3: Theme song by Gramoscope Special thanks to the eight Bar

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Speaker 3: and IBM teams, as well as the Pushkin marketing team.

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Speaker 3: Smart Talks with IBM is a production of Pushkin Industries

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00:42:24,080 --> 00:42:28,960
Speaker 3: and Ruby Studio at iHeartMedia. To find more Pushkin podcasts,

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Speaker 3: listen on the iHeartRadio app, Apple Podcasts, or wherever you

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00:42:34,280 --> 00:42:38,880
Speaker 3: listen to podcasts. I'm Malcolm Glapa. This is a paid

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00:42:38,960 --> 00:42:43,719
Speaker 3: advertisement from IBM. The conversations on this podcast don't necessarily

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Speaker 3: represent IBM's positions, strategies or opinions.