1 00:00:05,000 --> 00:00:08,120 Speaker 1: Every single one of us is familiar with the classroom. 2 00:00:08,480 --> 00:00:10,920 Speaker 1: This is where so many of us learn the basics 3 00:00:10,920 --> 00:00:15,000 Speaker 1: of reading, writing, and arithmetic, And no matter where you live, 4 00:00:15,280 --> 00:00:18,000 Speaker 1: the classroom is where so many of us first learn 5 00:00:18,040 --> 00:00:21,239 Speaker 1: the skills that we need to eventually join the workforce 6 00:00:21,600 --> 00:00:26,600 Speaker 1: and begin our careers. But this isn't just any classroom. 7 00:00:26,920 --> 00:00:29,840 Speaker 1: This is a classroom focused on the future and the 8 00:00:29,880 --> 00:00:33,520 Speaker 1: AI revolution that will create ninety seven million new jobs 9 00:00:33,720 --> 00:00:37,879 Speaker 1: by twenty twenty five and potentially deliver additional global economic 10 00:00:37,960 --> 00:00:42,239 Speaker 1: activity of around thirteen trillion by twenty thirty. This is 11 00:00:42,240 --> 00:00:45,600 Speaker 1: the classroom where teachers are equipping the future workforce with 12 00:00:45,720 --> 00:00:49,800 Speaker 1: a technical confidence to learn and apply AI skills and 13 00:00:49,920 --> 00:00:53,680 Speaker 1: shape the future. But who will fill these ninety seven 14 00:00:53,680 --> 00:00:57,120 Speaker 1: million jobs. According to the twenty twenty three Tech Report, 15 00:00:57,480 --> 00:01:00,360 Speaker 1: approximately sixty three percent of employees in the the US 16 00:01:00,440 --> 00:01:04,040 Speaker 1: tech sector are white. Estimates suggests that only twenty five 17 00:01:04,080 --> 00:01:06,399 Speaker 1: percent of tech jobs are held by women, with even 18 00:01:06,520 --> 00:01:10,200 Speaker 1: lower numbers for Black, Latina and Native American women at 19 00:01:10,240 --> 00:01:13,759 Speaker 1: around five percent. With these stats in mind, how can 20 00:01:13,800 --> 00:01:18,399 Speaker 1: we create new opportunities in tech for underrepresented populations, ultimately 21 00:01:18,400 --> 00:01:21,680 Speaker 1: creating a more diverse pool of talent in the industry, 22 00:01:21,840 --> 00:01:23,800 Speaker 1: how much work has to be done to close the 23 00:01:23,840 --> 00:01:27,600 Speaker 1: AI skills gap for our future workers, and which teachers 24 00:01:27,720 --> 00:01:34,440 Speaker 1: have been entrusted with this critical mission. Welcome to Technically Speaking, 25 00:01:34,680 --> 00:01:39,480 Speaker 1: an Intel podcast produced by iHeartMedia's Ruby Studio in partnership 26 00:01:39,480 --> 00:01:43,520 Speaker 1: with Intel. In every episode, we explore how AI innovations 27 00:01:43,520 --> 00:01:47,880 Speaker 1: are changing the world and revolutionizing the way we live. Hey, 28 00:01:47,960 --> 00:01:51,640 Speaker 1: then I'm your host Graham. Class for the seventh episode 29 00:01:51,640 --> 00:01:54,840 Speaker 1: of this season on Technically Speaking, We're headed back to school, 30 00:01:55,280 --> 00:01:59,320 Speaker 1: but it very likely doesn't resemble your typical university lecture hall. 31 00:02:00,000 --> 00:02:02,840 Speaker 1: This classroom is focused on teaching students some of the 32 00:02:02,840 --> 00:02:07,680 Speaker 1: most sought after skills in the emerging job landscape, artificial intelligence. 33 00:02:08,520 --> 00:02:11,640 Speaker 1: In this episode, we will focus on their current AI 34 00:02:11,720 --> 00:02:15,320 Speaker 1: skill crisis, and while Intel is partnering with Dell for 35 00:02:15,400 --> 00:02:19,200 Speaker 1: the AI for the Future Workforce program, will also examine 36 00:02:19,200 --> 00:02:22,239 Speaker 1: how students enrolled in this program at a Texas community 37 00:02:22,280 --> 00:02:26,440 Speaker 1: college are grasping onto this opportunity with both hands and 38 00:02:26,520 --> 00:02:30,880 Speaker 1: embracing AI technology in the workplace. Before we go any further, 39 00:02:31,080 --> 00:02:36,480 Speaker 1: let's welcome our guest who's leading this charge. Joining us 40 00:02:36,520 --> 00:02:40,080 Speaker 1: today is doctor Madeline Burilla. Hopkins the Vice Chancellor of 41 00:02:40,160 --> 00:02:44,520 Speaker 1: Workforce Instruction and the President of Southwest College at Houston 42 00:02:44,560 --> 00:02:49,040 Speaker 1: Community College in Texas. Doctor Buruillo Hopkins is responsible for 43 00:02:49,080 --> 00:02:53,600 Speaker 1: the strategic vision and administrative leadership of workforce instruction for 44 00:02:53,680 --> 00:02:58,120 Speaker 1: the district, and as president at Houston Community Southwest College, 45 00:02:58,200 --> 00:03:04,040 Speaker 1: she oversees all operations at HDC's Southwest campuses, including the 46 00:03:04,120 --> 00:03:11,360 Speaker 1: Center of Excellence in Digital and Information Technology. Welcome to 47 00:03:11,400 --> 00:03:12,120 Speaker 1: the show, Madeline. 48 00:03:12,639 --> 00:03:15,799 Speaker 2: Thank you Graham. What a pleasure to be here this morning, 49 00:03:15,880 --> 00:03:19,720 Speaker 2: and I'm very appreciative of the opportunity to share with 50 00:03:19,800 --> 00:03:22,280 Speaker 2: you and the listeners a little bit more about what 51 00:03:22,320 --> 00:03:24,239 Speaker 2: we're doing at Houston Community College. 52 00:03:24,800 --> 00:03:27,120 Speaker 1: Yeah, it's interesting because in our first season we did 53 00:03:27,120 --> 00:03:31,080 Speaker 1: talk a little bit about how we can upskill students 54 00:03:31,200 --> 00:03:34,440 Speaker 1: to be ready for the future trends in AI. But 55 00:03:34,480 --> 00:03:36,080 Speaker 1: I'd like to get a little bit of a sense 56 00:03:36,120 --> 00:03:40,400 Speaker 1: of your background. You've always been an advocate for workforce education, 57 00:03:41,080 --> 00:03:44,200 Speaker 1: but I'd like to get a definition of what workforce 58 00:03:44,240 --> 00:03:48,120 Speaker 1: instruction is and what does the term mean to you 59 00:03:48,320 --> 00:03:50,640 Speaker 1: and others who work in your field. 60 00:03:51,480 --> 00:03:55,160 Speaker 2: So workforce instruction for me, is really at the core 61 00:03:55,560 --> 00:03:58,280 Speaker 2: of what we do at Community colleges and the sense 62 00:03:58,360 --> 00:04:02,080 Speaker 2: of we are at the inter section of people looking 63 00:04:02,240 --> 00:04:08,080 Speaker 2: for educational opportunities that would allow them to have the 64 00:04:08,200 --> 00:04:11,680 Speaker 2: highest return on the investment of their time as well 65 00:04:11,680 --> 00:04:16,280 Speaker 2: as their economic resources to pay for that education. And 66 00:04:16,800 --> 00:04:21,200 Speaker 2: the other intersection is especially right now employers seeking highly 67 00:04:21,279 --> 00:04:27,720 Speaker 2: qualified people, especially for emerging jobs and careers. And we 68 00:04:27,760 --> 00:04:31,320 Speaker 2: all know about the fact now it's been labeled as 69 00:04:31,320 --> 00:04:36,560 Speaker 2: the AI era, these are actually exciting times to be living. 70 00:04:37,240 --> 00:04:40,160 Speaker 2: I used to say as an economics major, what would 71 00:04:40,160 --> 00:04:44,640 Speaker 2: have been like to live in the times of industrial 72 00:04:45,040 --> 00:04:48,520 Speaker 2: revolution and change? And I do feel like we're living 73 00:04:48,680 --> 00:04:52,200 Speaker 2: in that same time frame in terms of how people 74 00:04:52,279 --> 00:04:56,960 Speaker 2: are experiencing AI and how it's impacting the world around us. 75 00:04:57,040 --> 00:05:00,960 Speaker 2: So workforce education is anything that will allow people to 76 00:05:01,000 --> 00:05:03,800 Speaker 2: be able to have a better life through the power 77 00:05:03,800 --> 00:05:08,440 Speaker 2: of education and have jobs and careers that will allow 78 00:05:08,520 --> 00:05:13,000 Speaker 2: them to sustain their families and have upper economic mobility. 79 00:05:13,720 --> 00:05:16,840 Speaker 1: Yeah, as you're talking about that, I was reminded back 80 00:05:16,880 --> 00:05:19,719 Speaker 1: to my own experience where I just came into the 81 00:05:19,760 --> 00:05:22,520 Speaker 1: workforce just as the Internet was taking off, and I 82 00:05:22,520 --> 00:05:25,680 Speaker 1: had to reschool myself to be able to take advantage 83 00:05:25,720 --> 00:05:28,839 Speaker 1: of that, and I'd like to get a better sense 84 00:05:29,040 --> 00:05:33,720 Speaker 1: of the Houston Community College where you work, and I'd 85 00:05:33,760 --> 00:05:36,159 Speaker 1: like to get a sense of what the typical student 86 00:05:36,279 --> 00:05:40,800 Speaker 1: is like and what their general career aspirations are and 87 00:05:40,839 --> 00:05:43,360 Speaker 1: the reasons why they're studying there. 88 00:05:43,880 --> 00:05:48,000 Speaker 2: Well, Houston is the fourth largest metropolitan city in the country, 89 00:05:48,640 --> 00:05:52,960 Speaker 2: and it's been labeled the most diversified city in terms 90 00:05:52,960 --> 00:05:56,880 Speaker 2: of the demographics, and our student population reflects that of 91 00:05:56,920 --> 00:05:59,640 Speaker 2: the city that we operate in, and we're very proud 92 00:05:59,680 --> 00:06:03,680 Speaker 2: of that diversity. So about thirty five percent of our 93 00:06:03,720 --> 00:06:07,279 Speaker 2: students are Hispanic, another twenty nine percent are African American, 94 00:06:07,360 --> 00:06:12,680 Speaker 2: about twenty percent our Ations, and about seventeen percent wide 95 00:06:13,320 --> 00:06:16,520 Speaker 2: and so it's a very good place where you can 96 00:06:16,560 --> 00:06:20,400 Speaker 2: see what the world looks like today. In terms of diversity. 97 00:06:21,200 --> 00:06:24,760 Speaker 2: We do have, as an urban college, a large number 98 00:06:24,760 --> 00:06:30,080 Speaker 2: of students that are low social economic and who are 99 00:06:30,200 --> 00:06:35,320 Speaker 2: first generation college students, and we take that very very seriously, 100 00:06:35,720 --> 00:06:39,080 Speaker 2: and for me it's personal. I'm a first college generation 101 00:06:39,880 --> 00:06:44,480 Speaker 2: graduate in my family, daughter of immigrant and an immigrant, 102 00:06:45,040 --> 00:06:49,520 Speaker 2: and so I have lived and I'm an example of 103 00:06:49,560 --> 00:06:53,400 Speaker 2: the power of education to transform lives, and so our 104 00:06:53,480 --> 00:06:58,720 Speaker 2: students come to us exactly with that need and aspiration 105 00:06:59,520 --> 00:07:03,599 Speaker 2: to be a to obtain an education at HCC that 106 00:07:03,680 --> 00:07:07,520 Speaker 2: would allow them to change their lives and the generations 107 00:07:07,560 --> 00:07:10,720 Speaker 2: after them. 108 00:07:10,880 --> 00:07:14,800 Speaker 1: Houston Community College serves roughly eighty thousand students a year, 109 00:07:15,320 --> 00:07:19,360 Speaker 1: spread over six regional locations, all attending the school from 110 00:07:19,400 --> 00:07:22,880 Speaker 1: a variety of different backgrounds. The average age is roughly 111 00:07:22,920 --> 00:07:25,960 Speaker 1: twenty five years old, and three quarters of the students 112 00:07:26,160 --> 00:07:30,800 Speaker 1: are also working while they attend classes. HCC has thirteen 113 00:07:30,920 --> 00:07:36,239 Speaker 1: educational centers focusing on various industries such as healthcare, energy, 114 00:07:36,480 --> 00:07:41,160 Speaker 1: advanced manufacturing, and digital information technology. But I wanted to 115 00:07:41,240 --> 00:07:44,600 Speaker 1: know about the school's outlook on AI, how the students 116 00:07:44,600 --> 00:07:47,160 Speaker 1: are feeling about the rise of this new technology and 117 00:07:47,200 --> 00:07:49,239 Speaker 1: how it will affect their future. 118 00:07:53,640 --> 00:07:56,200 Speaker 2: So you ask how do they feel. They're not fearful. 119 00:07:56,720 --> 00:08:00,880 Speaker 2: Usually the older individuals are more fearful, all about Oh, 120 00:08:00,880 --> 00:08:04,000 Speaker 2: it's going to do away with my job or you know, 121 00:08:04,080 --> 00:08:07,520 Speaker 2: how's my career is going to change. The students walk 122 00:08:07,560 --> 00:08:12,160 Speaker 2: into that AI lab and they are curious, they're engaged, 123 00:08:12,720 --> 00:08:15,160 Speaker 2: they want to learn more. What you see in their 124 00:08:15,200 --> 00:08:19,400 Speaker 2: eyes is awakening of the things that they can do 125 00:08:19,480 --> 00:08:23,040 Speaker 2: with these tools and that they can be what I 126 00:08:23,160 --> 00:08:27,280 Speaker 2: call them they're the next game changers. They're embracing AI 127 00:08:27,840 --> 00:08:31,320 Speaker 2: and they are excited about the fact that they're the 128 00:08:31,400 --> 00:08:34,720 Speaker 2: next creators, that their ideas can come to live with 129 00:08:34,840 --> 00:08:38,160 Speaker 2: these tools, and that they at Houston Community College, that 130 00:08:38,240 --> 00:08:40,320 Speaker 2: they have a place where they not only can do 131 00:08:40,440 --> 00:08:43,480 Speaker 2: that they can learn the skills, and that they can 132 00:08:43,520 --> 00:08:46,440 Speaker 2: get a credential, and that they can compete for these 133 00:08:46,480 --> 00:08:47,760 Speaker 2: new emerging jobs. 134 00:08:48,880 --> 00:08:53,120 Speaker 1: With this collaboration space and the students getting together, I 135 00:08:53,160 --> 00:08:55,520 Speaker 1: think the examples in your mind that stick out that 136 00:08:55,920 --> 00:08:58,360 Speaker 1: really go oh wow, like I can't believe they've come 137 00:08:58,440 --> 00:08:58,760 Speaker 1: up with that. 138 00:08:59,559 --> 00:09:01,520 Speaker 2: Yes, So you know, I have to say I'm so 139 00:09:01,640 --> 00:09:05,160 Speaker 2: thankful to Intail and all because we would not be 140 00:09:05,240 --> 00:09:08,520 Speaker 2: able to have a faculty that's trained and prepared to 141 00:09:08,559 --> 00:09:12,160 Speaker 2: provide these tools to our students. Right. So, Intel's AI 142 00:09:12,280 --> 00:09:15,400 Speaker 2: for Workforce program has been so critical for us as 143 00:09:15,400 --> 00:09:18,000 Speaker 2: well as some of our other tech partners. But an 144 00:09:18,040 --> 00:09:21,199 Speaker 2: example one of our students right now that is entering 145 00:09:21,240 --> 00:09:26,400 Speaker 2: the competition, it's using AI how to identify cancer cells 146 00:09:27,360 --> 00:09:31,480 Speaker 2: at different stages by looking at the cancer cells at 147 00:09:31,520 --> 00:09:34,800 Speaker 2: their stage one, two, three, or four, and how to 148 00:09:34,920 --> 00:09:38,800 Speaker 2: do that at a much earlier stage of diagnosis. So 149 00:09:39,160 --> 00:09:42,880 Speaker 2: when I think about students actually looking at healthcare, I 150 00:09:43,000 --> 00:09:45,600 Speaker 2: just think of the possibilities and the things that we're 151 00:09:45,640 --> 00:09:50,120 Speaker 2: equipping our students with a capacity to create solutions for 152 00:09:50,240 --> 00:09:53,120 Speaker 2: the future that are going to benefit humanity. And I'm 153 00:09:53,160 --> 00:09:56,920 Speaker 2: excited and humble by the fact that we're able to 154 00:09:56,920 --> 00:09:59,400 Speaker 2: be in a place that we're allowing that to happen. 155 00:10:00,240 --> 00:10:03,480 Speaker 1: Yeah, and also I was just wondering what your thoughts 156 00:10:03,520 --> 00:10:06,800 Speaker 1: around what are those skills gaps that need to be 157 00:10:06,960 --> 00:10:11,959 Speaker 1: filled so that students can confidently go into not necessarily 158 00:10:11,960 --> 00:10:15,199 Speaker 1: an AI tech job, but an existing job, but you're 159 00:10:15,200 --> 00:10:19,439 Speaker 1: able to use those AI skills to enhance their productivity. 160 00:10:20,320 --> 00:10:24,719 Speaker 2: Well, technology skills are always very useful, but at the 161 00:10:24,800 --> 00:10:27,720 Speaker 2: end of the day, it comes about people working together 162 00:10:28,200 --> 00:10:33,360 Speaker 2: and working together. Well, So I do see AI allowing 163 00:10:33,440 --> 00:10:37,200 Speaker 2: us to be able to bring people from different perspectives 164 00:10:37,960 --> 00:10:42,960 Speaker 2: into teams and learning how to work together towards a 165 00:10:43,120 --> 00:10:48,320 Speaker 2: problem solution. And that is what employers are seeking today, 166 00:10:49,080 --> 00:10:52,200 Speaker 2: no matter in what sector you're in, the ability to 167 00:10:52,440 --> 00:10:56,520 Speaker 2: articulate also what the problem is and what are we 168 00:10:56,640 --> 00:10:59,880 Speaker 2: trying to solve. And I think about like prompting engine 169 00:11:00,320 --> 00:11:02,880 Speaker 2: and somebody said, oh, well, AI is going to do everything, 170 00:11:03,280 --> 00:11:05,160 Speaker 2: and it's going to replace people. At the end of 171 00:11:05,240 --> 00:11:10,120 Speaker 2: the day. Starts with somebody's thoughts and ideas that have 172 00:11:10,200 --> 00:11:14,080 Speaker 2: to be articulated properly to the AI tool to be 173 00:11:14,160 --> 00:11:17,240 Speaker 2: able to give you the outcome that you're seeking. I 174 00:11:17,320 --> 00:11:21,040 Speaker 2: see AI also as a catalyst that will help our 175 00:11:21,080 --> 00:11:25,679 Speaker 2: students learn how to communicate more effectively because they have 176 00:11:25,760 --> 00:11:29,320 Speaker 2: to learn the skill of prompt engineering, which requires them 177 00:11:29,320 --> 00:11:34,120 Speaker 2: to articulate thoughts in a concise and clear way. And 178 00:11:34,160 --> 00:11:36,840 Speaker 2: so to me, these are all what employers call soft 179 00:11:36,880 --> 00:11:39,840 Speaker 2: skills that for years. I've been in workforce for a 180 00:11:39,840 --> 00:11:42,880 Speaker 2: long time, workforce development, and those are things that always 181 00:11:42,960 --> 00:11:46,120 Speaker 2: come up. And I see AI allowing us to do 182 00:11:46,200 --> 00:11:50,800 Speaker 2: that becoming more efficient, but allowing the people to use 183 00:11:50,880 --> 00:11:56,200 Speaker 2: their thoughts and their human intelligence to be magnified and 184 00:11:56,240 --> 00:12:01,000 Speaker 2: to be better used for more strategic thinks and problem 185 00:12:01,120 --> 00:12:06,280 Speaker 2: solving than the routine tasks or tasks that require high 186 00:12:06,320 --> 00:12:09,800 Speaker 2: computing levels that we couldn't do before. But at the 187 00:12:09,880 --> 00:12:12,400 Speaker 2: end of the day, you still need a creative thought 188 00:12:12,480 --> 00:12:16,000 Speaker 2: from an individual, from a person to have that computer 189 00:12:16,080 --> 00:12:19,360 Speaker 2: that robot be able to give you the outcome that 190 00:12:19,400 --> 00:12:20,080 Speaker 2: you're seeking. 191 00:12:20,760 --> 00:12:23,960 Speaker 1: Yeah, and I think it's really an exciting time because 192 00:12:24,679 --> 00:12:27,680 Speaker 1: you might have a creative thought and use your imagination, 193 00:12:28,400 --> 00:12:30,400 Speaker 1: but then you might get discouraged and say, oh, there's 194 00:12:30,440 --> 00:12:32,240 Speaker 1: so much work and I have to do this, this, 195 00:12:32,280 --> 00:12:36,640 Speaker 1: and this. I've just been creating an app using AI copilots, 196 00:12:37,280 --> 00:12:39,320 Speaker 1: and I don't think I would have even embarked on 197 00:12:39,360 --> 00:12:42,760 Speaker 1: it if I didn't have this assistant with me to 198 00:12:42,800 --> 00:12:45,600 Speaker 1: help me along the way. So I just think that 199 00:12:45,679 --> 00:12:49,240 Speaker 1: there'll be more of that human creativity being able to 200 00:12:49,280 --> 00:12:51,240 Speaker 1: get to the market or just get out into the 201 00:12:51,240 --> 00:12:52,680 Speaker 1: world because of these. 202 00:12:52,440 --> 00:12:56,040 Speaker 2: Tools, because AI will allow them to do that. But 203 00:12:56,440 --> 00:12:59,960 Speaker 2: these are all things that we're facing in a few 204 00:13:00,320 --> 00:13:03,319 Speaker 2: and I am so glad that we get to Our 205 00:13:03,480 --> 00:13:06,319 Speaker 2: students at Houston Community Colleges are going to be part 206 00:13:06,400 --> 00:13:09,240 Speaker 2: of that economy. They're very part of the economy because 207 00:13:09,240 --> 00:13:13,560 Speaker 2: they're being hired before they leave. People want them. All 208 00:13:13,600 --> 00:13:17,520 Speaker 2: of the tech companies are realizing that in order to 209 00:13:17,559 --> 00:13:21,840 Speaker 2: maximize the power of AI, particularly for the US, that 210 00:13:21,880 --> 00:13:25,360 Speaker 2: they all need to come together and help build that 211 00:13:25,480 --> 00:13:28,839 Speaker 2: next workforce. Everybody is going to need to be upskilled 212 00:13:28,880 --> 00:13:34,280 Speaker 2: and reskill and learn to use AI in their daily work. 213 00:13:35,040 --> 00:13:37,600 Speaker 2: In this twenty first century. If we don't do this, 214 00:13:37,960 --> 00:13:40,680 Speaker 2: we're going to have a huge digital divide. And for 215 00:13:40,800 --> 00:13:43,800 Speaker 2: small businesses and medium sized businesses, this can be a 216 00:13:43,840 --> 00:13:48,480 Speaker 2: game changer for them. 217 00:13:48,520 --> 00:13:52,080 Speaker 1: Coming up next on Technically Speaking and Intel podcast. 218 00:13:52,679 --> 00:13:55,960 Speaker 2: We've had students that walk down the hallway and see 219 00:13:55,960 --> 00:13:58,360 Speaker 2: the AI lab and they get curious as they can. 220 00:13:58,440 --> 00:14:00,839 Speaker 2: I come in there and we tell them and they 221 00:14:00,960 --> 00:14:02,120 Speaker 2: changed their majors. 222 00:14:02,559 --> 00:14:04,640 Speaker 1: We'll be right back after a brief message from our 223 00:14:04,640 --> 00:14:16,560 Speaker 1: partners at Intel. Welcome back to Technically Speaking, an Intel podcast. 224 00:14:17,000 --> 00:14:23,280 Speaker 1: I'm here now with doctor Madeline Burillo Hopkins. I just 225 00:14:23,320 --> 00:14:25,520 Speaker 1: wanted to go to the start and the genesis of 226 00:14:25,560 --> 00:14:28,200 Speaker 1: the AAR for the Future Workforce program. I read that 227 00:14:28,360 --> 00:14:31,560 Speaker 1: Dell and Intel collaborated with the American Association of Community 228 00:14:31,600 --> 00:14:35,280 Speaker 1: Colleges back in twenty twenty. How did that program actually 229 00:14:35,360 --> 00:14:37,640 Speaker 1: come on to your radar and how did that actually start? 230 00:14:38,320 --> 00:14:43,360 Speaker 2: Well in twenty seventeen at HCC our faculty, even though 231 00:14:43,360 --> 00:14:47,080 Speaker 2: people thought we were crazy, we saw what was coming. 232 00:14:47,240 --> 00:14:50,600 Speaker 2: Everybody was using assistance and as a center of excellenc 233 00:14:50,840 --> 00:14:54,160 Speaker 2: question was what does that mean? And we saw the 234 00:14:54,280 --> 00:14:59,320 Speaker 2: trends for AI growing and really we saw, so to speak, 235 00:14:59,360 --> 00:15:03,040 Speaker 2: the x poond intial applications of AI for the future, 236 00:15:03,120 --> 00:15:06,560 Speaker 2: and then we have a very strong cybersecurity program at HCC, 237 00:15:07,480 --> 00:15:10,240 Speaker 2: so we immediately saw the connection and we decided we 238 00:15:10,240 --> 00:15:13,080 Speaker 2: were going to launch one. It just happened that we 239 00:15:13,160 --> 00:15:16,360 Speaker 2: had all the plans and everything ready to launch in 240 00:15:16,480 --> 00:15:19,520 Speaker 2: fall of twenty twenty. Because it takes a couple of 241 00:15:19,560 --> 00:15:23,760 Speaker 2: years to launch a program and hire ed so our 242 00:15:23,800 --> 00:15:29,200 Speaker 2: faculty had to get equipped to do the curriculum. So 243 00:15:29,400 --> 00:15:31,800 Speaker 2: one of the things we did was where can we 244 00:15:31,840 --> 00:15:36,120 Speaker 2: get the curriculum to teach AI? And so we started 245 00:15:36,160 --> 00:15:39,600 Speaker 2: reaching out. We figure out, well, the companies are doing this, 246 00:15:40,200 --> 00:15:43,640 Speaker 2: so let's reach out to different companies that are training 247 00:15:43,760 --> 00:15:47,960 Speaker 2: their staff. They have to have training materials, and somebody 248 00:15:48,000 --> 00:15:50,840 Speaker 2: I knew told me Intel has a program that they're 249 00:15:50,880 --> 00:15:55,720 Speaker 2: starting in Arizona with Maricopa, So I reached out told 250 00:15:55,760 --> 00:15:59,600 Speaker 2: them what we were doing in Texas. So Intel provided 251 00:15:59,720 --> 00:16:03,600 Speaker 2: book camps for our faculty in computer science to be 252 00:16:03,840 --> 00:16:09,600 Speaker 2: equipped to teach AI skills, and so between their support, 253 00:16:10,080 --> 00:16:14,600 Speaker 2: our faculty was really prepared to utilize that curriculum integrated 254 00:16:14,640 --> 00:16:18,040 Speaker 2: into our associate's degree. So we launched a program and 255 00:16:18,080 --> 00:16:21,520 Speaker 2: follow twenty twenty with Intel support and there, and since 256 00:16:21,560 --> 00:16:25,320 Speaker 2: then they have been side by side with ACC and 257 00:16:25,440 --> 00:16:28,640 Speaker 2: everything that we do. We have a fabulous AI lab 258 00:16:29,240 --> 00:16:33,200 Speaker 2: that we've been very fortunate to have Pat Gelsinger visitors 259 00:16:33,520 --> 00:16:36,360 Speaker 2: their CEO, and I'm proud to say also that he's 260 00:16:36,360 --> 00:16:41,920 Speaker 2: an ALUMNIICCCUS. He got an honorary degree from ACC because 261 00:16:41,960 --> 00:16:45,320 Speaker 2: our students won the global competition in twenty twenty two 262 00:16:46,240 --> 00:16:48,760 Speaker 2: and he came to see what was happening in this 263 00:16:48,840 --> 00:16:53,480 Speaker 2: little community college. Intel has been providing the same type 264 00:16:53,480 --> 00:16:58,040 Speaker 2: of professional development to build the capacity to teach these 265 00:16:58,080 --> 00:16:59,680 Speaker 2: programs across the US. 266 00:17:00,480 --> 00:17:04,760 Speaker 1: So how many students go through that AI for Future Workforce. 267 00:17:04,359 --> 00:17:08,560 Speaker 2: Program at Houston Community College? We started with forty students. 268 00:17:09,080 --> 00:17:13,719 Speaker 2: Today we have almost five hundred students, and we have 269 00:17:14,200 --> 00:17:18,200 Speaker 2: also launched a bachelor's degree in Applied Technology in AI 270 00:17:18,240 --> 00:17:21,360 Speaker 2: and Robotics, the first in the country by a community college. 271 00:17:21,840 --> 00:17:26,080 Speaker 2: So it's grown exponentially, and we've had students that walk 272 00:17:26,160 --> 00:17:29,360 Speaker 2: down the hallway and see the AI lab and they 273 00:17:29,400 --> 00:17:31,240 Speaker 2: get curious as they can I come in there and 274 00:17:31,240 --> 00:17:34,760 Speaker 2: we tell them and they change their majors. Then they 275 00:17:34,800 --> 00:17:39,840 Speaker 2: tell other friends, family members, So it's been an exciting 276 00:17:40,119 --> 00:17:43,600 Speaker 2: pathway to see the growth. We just want more community 277 00:17:43,640 --> 00:17:46,920 Speaker 2: colleges in the country to do this. Our purpose would 278 00:17:46,960 --> 00:17:51,960 Speaker 2: be to help other colleges launch these degree programs across 279 00:17:52,000 --> 00:17:56,120 Speaker 2: the US, and obviously with Intel support and our other 280 00:17:56,240 --> 00:18:00,160 Speaker 2: tech companies support, Deal and Intail among them. 281 00:18:00,880 --> 00:18:05,320 Speaker 1: And you talked a little bit about how students were 282 00:18:05,320 --> 00:18:10,320 Speaker 1: able to get jobs really quickly after they've completed their coursework. 283 00:18:10,960 --> 00:18:14,040 Speaker 1: Can you give me some examples of the type of 284 00:18:14,200 --> 00:18:17,800 Speaker 1: industries the type of jobs that students have been able 285 00:18:17,840 --> 00:18:20,280 Speaker 1: to get as a result of this program. 286 00:18:20,840 --> 00:18:22,840 Speaker 2: Yeah, so I have a list of examples. This is 287 00:18:22,880 --> 00:18:24,840 Speaker 2: not inclusive of all of them, but I can tell 288 00:18:24,880 --> 00:18:27,800 Speaker 2: you two of our students were recruited by Tesla. We 289 00:18:27,920 --> 00:18:30,679 Speaker 2: have another student that went to work for our local 290 00:18:31,119 --> 00:18:34,800 Speaker 2: pharmaceutical company here in the Houston area. We got a 291 00:18:34,840 --> 00:18:39,400 Speaker 2: couple of folks that are working with some in technology companies. 292 00:18:40,000 --> 00:18:45,720 Speaker 2: One student is working for a geo scanning company. We 293 00:18:45,840 --> 00:18:49,480 Speaker 2: have three students that have interesting enough gone to work 294 00:18:49,520 --> 00:18:53,760 Speaker 2: for ced AI, and then we have had forced students 295 00:18:53,800 --> 00:18:57,840 Speaker 2: go to become NASA scholars after they left. And we 296 00:18:57,920 --> 00:19:00,480 Speaker 2: have a large number of students that are trying entering 297 00:19:00,600 --> 00:19:05,160 Speaker 2: into our bachelors of apply technology because it didn't exist 298 00:19:05,200 --> 00:19:07,840 Speaker 2: before and it doesn't exist anywhere in Texas. 299 00:19:10,000 --> 00:19:12,840 Speaker 1: You heard doctor Brilla Hopkins mentioned earlier that a number 300 00:19:12,920 --> 00:19:15,920 Speaker 1: of students at the AI for Future Workforce Program at 301 00:19:15,960 --> 00:19:18,719 Speaker 1: Houston Community College are being hired as soon as they 302 00:19:18,760 --> 00:19:21,600 Speaker 1: complete the program or they have jobs lined up even 303 00:19:21,640 --> 00:19:25,440 Speaker 1: before they graduate. These success stories come from a wide 304 00:19:25,520 --> 00:19:30,399 Speaker 1: range of industries like jobs in electric vehicles, pharmaceuticals, global 305 00:19:30,440 --> 00:19:35,480 Speaker 1: management and consulting, geotechnical scanning, AI, public policy, and even 306 00:19:35,720 --> 00:19:39,160 Speaker 1: space aeronautics, just to name a few. But what's still 307 00:19:39,200 --> 00:19:42,280 Speaker 1: paramount to the team at the AI for Future Workforce 308 00:19:42,320 --> 00:19:46,560 Speaker 1: Program at HCC is that this pathway to success remains 309 00:19:46,600 --> 00:19:50,600 Speaker 1: accessible to all, regardless of the student's race, gender, or 310 00:19:50,640 --> 00:19:52,000 Speaker 1: socioeconomic status. 311 00:19:56,800 --> 00:20:01,040 Speaker 2: So I mentioned earlier, the demographics of our college in 312 00:20:01,160 --> 00:20:04,520 Speaker 2: general and our demographics of our programs are pretty similar. 313 00:20:04,880 --> 00:20:08,359 Speaker 2: What I'm also very hopeful is that I see a 314 00:20:08,359 --> 00:20:12,680 Speaker 2: lot of women going in the deck field, which we've 315 00:20:12,720 --> 00:20:17,040 Speaker 2: had a huge gap in females participation in the technology industry, 316 00:20:17,440 --> 00:20:20,480 Speaker 2: and about thirty percent of our students in the program 317 00:20:20,560 --> 00:20:24,200 Speaker 2: are females. So I know that we're making a difference 318 00:20:24,240 --> 00:20:28,680 Speaker 2: by providing that accents. This year, we're doing summer camps 319 00:20:28,840 --> 00:20:34,040 Speaker 2: that include AI skill sets for our middle school and 320 00:20:34,119 --> 00:20:37,919 Speaker 2: high school students. We're also creating pathways of what we 321 00:20:38,040 --> 00:20:43,600 Speaker 2: call here in Texas dual credit programming that allows a 322 00:20:43,720 --> 00:20:47,200 Speaker 2: student in high school when they're the last few years, 323 00:20:47,800 --> 00:20:52,920 Speaker 2: complete a high school diploma and also an associates degree 324 00:20:53,400 --> 00:20:56,720 Speaker 2: at the same time. So I talked about fourteen thousand 325 00:20:56,840 --> 00:21:00,880 Speaker 2: for an Ambassador's degree. If they take dual ready classes 326 00:21:00,920 --> 00:21:04,040 Speaker 2: and complete their associates degree while they're in high school, 327 00:21:04,240 --> 00:21:07,600 Speaker 2: cut that in half because that's half of the program 328 00:21:07,960 --> 00:21:11,800 Speaker 2: already done, already done, and then they graduate a lot sooner, 329 00:21:11,960 --> 00:21:15,080 Speaker 2: and that means that they're going to enter the workforce 330 00:21:15,320 --> 00:21:18,879 Speaker 2: a lot sooner. So their lifelong earnings will be a 331 00:21:18,920 --> 00:21:23,040 Speaker 2: lot higher because they're going to enter a high demand 332 00:21:23,080 --> 00:21:27,760 Speaker 2: field that's relevant, that has high wages, and their careers 333 00:21:28,520 --> 00:21:32,600 Speaker 2: long term earnings will actually be I think that they'll 334 00:21:32,640 --> 00:21:33,320 Speaker 2: be double. 335 00:21:34,160 --> 00:21:39,040 Speaker 1: Yeah. I'm a parent of teenagers myself. My oldest daughter 336 00:21:39,080 --> 00:21:42,600 Speaker 1: is going through that decision making process of what subjects 337 00:21:42,600 --> 00:21:45,879 Speaker 1: to choose and all of that. I'm sure many of 338 00:21:45,880 --> 00:21:49,000 Speaker 1: our listeners have teenagers going through that exact same thing. 339 00:21:49,520 --> 00:21:51,359 Speaker 1: I like to know if you've got any tips to 340 00:21:51,480 --> 00:21:55,320 Speaker 1: parents to help them guide their children in this crucial 341 00:21:55,359 --> 00:21:59,200 Speaker 1: time of almost like feeling like you're deciding your whole life. 342 00:22:00,119 --> 00:22:04,320 Speaker 2: Listen, my youngest daughter went through that whole process not 343 00:22:04,400 --> 00:22:07,640 Speaker 2: too long ago, right, So what do I tell parents? 344 00:22:08,000 --> 00:22:15,560 Speaker 2: Look for learning experiences that your local community colleges all offer, 345 00:22:16,320 --> 00:22:23,320 Speaker 2: especially anything on STEM related opportunities. Call look what your 346 00:22:23,320 --> 00:22:27,520 Speaker 2: local community college has. Many of times these programs are 347 00:22:27,640 --> 00:22:30,600 Speaker 2: free of charge because it's part of the mission of 348 00:22:30,640 --> 00:22:35,920 Speaker 2: the colleges. As a parent, as your school principle and 349 00:22:35,960 --> 00:22:40,280 Speaker 2: your superintendents, what are you all doing about AI education 350 00:22:40,840 --> 00:22:44,560 Speaker 2: at our schools? Our kids need to learn this, So 351 00:22:44,640 --> 00:22:49,960 Speaker 2: become an advocate for your own children, right, Provide experiences 352 00:22:50,000 --> 00:22:53,919 Speaker 2: for them to explore in a safe environment, which is 353 00:22:53,960 --> 00:22:58,119 Speaker 2: your schools. Find ways to get your kids to learn 354 00:22:58,680 --> 00:23:02,840 Speaker 2: the new technology. It's impacting their life and it's going 355 00:23:02,920 --> 00:23:05,879 Speaker 2: to be a must for them to be proficient, to 356 00:23:05,960 --> 00:23:09,520 Speaker 2: be able to be successful and to have careers with 357 00:23:09,600 --> 00:23:13,040 Speaker 2: livable wages in the future. So that's what I would 358 00:23:13,080 --> 00:23:14,920 Speaker 2: say to the parents that are listening. 359 00:23:15,400 --> 00:23:19,000 Speaker 1: Excellent, and in terms of the II for the Future 360 00:23:19,160 --> 00:23:23,879 Speaker 1: Workforce program, if other college professors and administrators are listening 361 00:23:23,880 --> 00:23:27,480 Speaker 1: to this, how can they get involved in that program? 362 00:23:28,080 --> 00:23:32,720 Speaker 2: Well, I would say contact your local INTEL regional contact. 363 00:23:33,320 --> 00:23:36,960 Speaker 2: But if they want to Houston Community College, a Miami 364 00:23:37,080 --> 00:23:40,480 Speaker 2: Dade at Mary Coopa College, all three of us are 365 00:23:40,480 --> 00:23:44,760 Speaker 2: committed to helping other colleges, and they can also contact 366 00:23:44,840 --> 00:23:49,760 Speaker 2: the American Association of Community Colleges the Workforce Division, and 367 00:23:49,800 --> 00:23:53,240 Speaker 2: they will put them in contact with those like myself 368 00:23:53,320 --> 00:23:58,280 Speaker 2: and others that are leading this pathway of building the 369 00:23:58,359 --> 00:24:02,160 Speaker 2: next workforce of the twenty five century in the AI era. 370 00:24:02,840 --> 00:24:05,600 Speaker 2: So just reach out, reach out to an AACC or 371 00:24:05,640 --> 00:24:09,160 Speaker 2: to us at Houston Community College or the other two colleges. 372 00:24:09,200 --> 00:24:12,160 Speaker 2: We'll be happy to help them through this process. 373 00:24:12,960 --> 00:24:15,800 Speaker 1: Excellent. Thank you so much for joining us today. 374 00:24:16,000 --> 00:24:17,840 Speaker 2: Oh, thank you Graham, it's been a pleasure. 375 00:24:19,920 --> 00:24:23,320 Speaker 1: Thank you to doctor Madeleine Barilla Hopkins for her expertise 376 00:24:23,320 --> 00:24:28,160 Speaker 1: in today's episode of Technically Speaking for our regular listeners. 377 00:24:28,280 --> 00:24:31,439 Speaker 1: In season one, episode seven, we discussed the importance of 378 00:24:31,520 --> 00:24:34,879 Speaker 1: upskilling workers to take advantage of the AI explosion we 379 00:24:34,920 --> 00:24:37,879 Speaker 1: are all now witnessing. So it was a real pleasure 380 00:24:37,920 --> 00:24:41,320 Speaker 1: to talk with Madeline about the tangible strides Houston Community 381 00:24:41,359 --> 00:24:45,480 Speaker 1: College has taken to provide those crucial AI skills for students. 382 00:24:46,080 --> 00:24:48,439 Speaker 1: I could sense the pride Madeline has in providing these 383 00:24:48,440 --> 00:24:52,640 Speaker 1: opportunities to students from all backgrounds to enjoy the benefits 384 00:24:52,680 --> 00:24:55,840 Speaker 1: of this exciting technology. In particular, I love the fact 385 00:24:55,880 --> 00:24:58,639 Speaker 1: that she was willing to promote other colleges trying to 386 00:24:58,680 --> 00:25:01,960 Speaker 1: achieve a similar mission and to be a model for 387 00:25:02,040 --> 00:25:06,320 Speaker 1: other institutions to emulate. I believe that AI skills such 388 00:25:06,359 --> 00:25:09,879 Speaker 1: as prompt engineering, and as strange as it may sound, 389 00:25:10,240 --> 00:25:13,600 Speaker 1: be able to communicate properly with AI agents, it will 390 00:25:13,600 --> 00:25:16,639 Speaker 1: set you apart from others and enable you to focus 391 00:25:16,680 --> 00:25:20,199 Speaker 1: on true creativity and innovation. I think the students and 392 00:25:20,240 --> 00:25:24,520 Speaker 1: teachers of AI programs at institutions like Houston Community College 393 00:25:24,720 --> 00:25:31,400 Speaker 1: will truly help bring AI everywhere. Next time, on our 394 00:25:31,440 --> 00:25:34,320 Speaker 1: final episode of season two, we're bringing home the gold 395 00:25:34,359 --> 00:25:37,280 Speaker 1: Medal as we look at how AI will help change 396 00:25:37,320 --> 00:25:41,440 Speaker 1: our experience of the Olympic and Paralympic Games. So join 397 00:25:41,560 --> 00:25:45,159 Speaker 1: us on July sixteenth for this very special episode of 398 00:25:45,240 --> 00:25:53,159 Speaker 1: Technically Speaking and Intel podcast. Technically Speaking was produced by 399 00:25:53,119 --> 00:25:57,040 Speaker 1: a Ruby Studio from iHeartRadio in partnership with Intel and 400 00:25:57,080 --> 00:26:01,280 Speaker 1: hosted by me Graham class. My executive producer is Molly Sosher, 401 00:26:01,880 --> 00:26:05,159 Speaker 1: our EP of Post Production is James Foster, and our 402 00:26:05,200 --> 00:26:09,760 Speaker 1: supervising producer is Nika Swinton. This episode was edited by 403 00:26:09,840 --> 00:26:12,840 Speaker 1: Sierra Spreen and written by Nick Firschel