WEBVTT - TANGOTI: Are genetic testing services protecting our data?

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<v Speaker 1>Have you ever thought about how incredibly complex I spit is.

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<v Speaker 1>It may only be water, but just aliva isn't simple.

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<v Speaker 1>That remaining one percent holds incredibly meaningful information that could

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<v Speaker 1>change everything. And I'm not just talking about your family

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<v Speaker 1>treat Hi. I'm Barrett to Day Thurston. And on this

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<v Speaker 1>season of Spit and I Heart Radio podcast with twenty

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<v Speaker 1>three and Me, we explore how DNA isn't just about ancestry,

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<v Speaker 1>it can also be key to understanding your health. Hello,

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<v Speaker 1>and welcome back. On today's show, we have Bridget Todd,

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<v Speaker 1>host of the podcast There Are No Girls on the Internet.

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<v Speaker 1>Each week, Bridget chronicles marginalized voices in technology, the voices

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<v Speaker 1>that have always been at the forefront of tech, but

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<v Speaker 1>far too often go overlooked. Bridget has investigated how marginalized

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<v Speaker 1>communities are more likely to be impact by technology and

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<v Speaker 1>historically have been skeptical of data collection and privacy. So

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<v Speaker 1>when Bridget decided to take a twenty three and Me test,

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<v Speaker 1>she saw an opportunity to not only gain insightful information

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<v Speaker 1>on our ancestry and health, but also to alleviate concerns.

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<v Speaker 1>And she had light on exactly how twenty three and

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<v Speaker 1>me protects your information. In today's episode, Bridget unpacks her

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<v Speaker 1>own hesitancy about taking the twenty three and ME test.

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<v Speaker 1>As a critic of tech, she's examined the ways that

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<v Speaker 1>privacy policies can, but sometimes don't, protect the intimate details

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<v Speaker 1>of our lives. But when she reviewed twenty three and

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<v Speaker 1>These privacy policy, Bridget was very happy to see a

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<v Speaker 1>clear set of guidelines in plain English to help better

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<v Speaker 1>understand all the ins and outs. Bridget sits down with

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<v Speaker 1>Zarena Kovac from twenty three of These Data and Privacy

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<v Speaker 1>Team to learn more. But that's not all. Bridget also

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<v Speaker 1>shares some of what she learned from her reports, including

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<v Speaker 1>the discovery of a whole bunch of cousins she didn't

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<v Speaker 1>know she had. I know the feeling, Bridget, I know

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<v Speaker 1>the feeling. It's a very important episode that you don't

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<v Speaker 1>want to miss. Let's listen is There Are No Girls

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<v Speaker 1>on the Internet. As a production of I Heart Radio

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<v Speaker 1>and Unbossed Creative. I'm Bridget Todd, and this is There

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<v Speaker 1>Are No Girls on the Internet. So it's probably no

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<v Speaker 1>secret to anyone listening that I consider myself to be

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<v Speaker 1>a bit of a tech critic. I just think it's

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<v Speaker 1>important to interrogate who has the power and technology and

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<v Speaker 1>how that power is being used. And this has been

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<v Speaker 1>particularly important to me as somebody who is traditionally marginalized.

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<v Speaker 1>So last Thanksgiving and my cousin was telling her family

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<v Speaker 1>all about how he used the ancestry and DNA kit

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<v Speaker 1>and me to find out more about our family legacy

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<v Speaker 1>and history. The entire family was listening to him, completely

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<v Speaker 1>captivated while he talked about what he had found, and

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<v Speaker 1>I could already feel all their eyes on me, like

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<v Speaker 1>they were all just waiting for me to reign on

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<v Speaker 1>the parade. But it actually sounded like he had found

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<v Speaker 1>out some pretty compelling information that made us all feel

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<v Speaker 1>more deeply connected to our family story, which frankly had

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<v Speaker 1>always been a little bit murky, so kind of out

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<v Speaker 1>of character for me. I actually started to get pretty

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<v Speaker 1>interested in DNA and ancestry kits like twenty three and me.

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<v Speaker 1>But as interested as I was, I was also really

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<v Speaker 1>really hesitant. You know, I knew it could be used

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<v Speaker 1>to learn more about my family, my background, and to

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<v Speaker 1>learn more about my health so I can make more

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<v Speaker 1>informed choices, But I also know this whole fraught history

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<v Speaker 1>of people, particularly our people when it comes to things

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<v Speaker 1>like DNA being misused or worse, used against us. So

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<v Speaker 1>I checked out twenty three's website and was surprised to

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<v Speaker 1>find a privacy policy written more or less in plain

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<v Speaker 1>English that I felt like I could actually kind of understand,

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<v Speaker 1>you know. I read a ton of tech privacy policies

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<v Speaker 1>for there are no girls on the Internet, and I

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<v Speaker 1>feel like I have a pretty could handle on them.

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<v Speaker 1>But I am no lawyer or data privacy expert, so

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<v Speaker 1>I still had a lot of questions. So I turned

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<v Speaker 1>to an actual expert. Hi, I'm Serena kervac Um at

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<v Speaker 1>twenty three and me and my title is UM Director

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<v Speaker 1>Senior Privacy Council. So there, Bena. I know that you've

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<v Speaker 1>kind of been in this privacy space for a while.

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<v Speaker 1>How did you get into this work? How did this

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<v Speaker 1>come to be something that you do for a living?

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<v Speaker 1>You know, it was so random. One day I learned

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<v Speaker 1>about the e f F, the Electronic Frontier Foundation, and

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<v Speaker 1>I was like, this sounds so interesting. You're thinking about

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<v Speaker 1>digital identities and flipprints that people leave on the Internet,

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<v Speaker 1>and um, I was in the midst of law school

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<v Speaker 1>and I was like, uh, you know, I thought I

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<v Speaker 1>was going to do intellectual property and I was not

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<v Speaker 1>liking it, and un while I like, World of Privacy

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<v Speaker 1>just seemed so fascinating, so um, I put all my

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<v Speaker 1>eggs in one basket and just went for it. Yeah.

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<v Speaker 1>E f F was one of my first for ways

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<v Speaker 1>into thinking seriously about technology and sort of the implications

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<v Speaker 1>of the trails that we leave online. And I had

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<v Speaker 1>never really thought about it before, even as somebody who

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<v Speaker 1>was like a super user of the Internet, until I

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<v Speaker 1>really encountered their work. Yeah, and it's really good stuff.

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<v Speaker 1>I think that they do a good job of making

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<v Speaker 1>it very accessible and easy to understand and meeting people

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<v Speaker 1>like who are regular consumers um and understanding like privacy

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<v Speaker 1>and like what the Internet is like and what your

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<v Speaker 1>data is. Okay, I'm so glad I'm talking to you

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<v Speaker 1>about this because you're the expert. And when I went

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<v Speaker 1>to do my twenty three and me, I of course

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<v Speaker 1>had questions, and one of the things I appreciated was

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<v Speaker 1>that the questions, like the answers about privacy on the

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<v Speaker 1>twenty three and the side are actually like pretty plain English.

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<v Speaker 1>I read a lot of privacy policies and I'm like,

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<v Speaker 1>I'm no lawyer, I do not understand this. So I

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<v Speaker 1>really appreciated that they're pretty straightforward and like I felt

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<v Speaker 1>like I could have a handle on them. But I'm

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<v Speaker 1>really that I'm talking to you because you're the expert.

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<v Speaker 1>And so, you know, as we know, we're in this

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<v Speaker 1>climate where folks, particularly people who are marginalized, are understandably

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<v Speaker 1>pretty concerned about privacy when it comes to their data.

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<v Speaker 1>Is that something that twenty three and Me takes really seriously. Yeah. Absolutely,

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<v Speaker 1>you know, I think some of the things that you'll

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<v Speaker 1>see all over our website is you know, choice and

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<v Speaker 1>transparency being our key values in our privacy approach our customers.

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<v Speaker 1>It's really important to us that our customers are in

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<v Speaker 1>control of their data and we don't make any assumptions

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<v Speaker 1>about the way that they want to share their information

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<v Speaker 1>when we build out our features. UM customers make choices

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<v Speaker 1>about whether they want to view certain sensitive health information

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<v Speaker 1>or you know, with whom they want to share their information,

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<v Speaker 1>whether they want to participate in certain features or programs

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<v Speaker 1>such as DNA Relatives or twenty three and me research.

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<v Speaker 1>UM and Customer choice also means allowing individuals to change

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<v Speaker 1>their mind at any time. UM. You know, if you

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<v Speaker 1>want to revoke your consent to participate in research or

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<v Speaker 1>um DNA relatives, it's easy to do that at any time,

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<v Speaker 1>Just go to your account settings and boop, you're out. UM.

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<v Speaker 1>And these meaningful choices are also like they require transparency,

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<v Speaker 1>and we work hard to make that information accessible, including

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<v Speaker 1>presenting that information in a way that's easy to understand.

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<v Speaker 1>And sometimes that can be hard, and it's an iterative approach,

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<v Speaker 1>especially as you're dealing with like not only like the Internet,

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<v Speaker 1>but genetic information and like there's a lot of you know,

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<v Speaker 1>fun interesting things that can come out of that UM.

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<v Speaker 1>And recently we've updated our privacy statement to add like

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<v Speaker 1>more graphics and visuals to improve readability. UM. And we

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<v Speaker 1>were very closely with our customer care team because they're

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<v Speaker 1>the ones who really like talk to our customers, have

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<v Speaker 1>that first touch to be able to address those privacy

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<v Speaker 1>topics and concerns UM that are important to people. Yeah,

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<v Speaker 1>that's really helpful. I know there are so many reasons

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<v Speaker 1>that a person might decide to undergo the kind of

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<v Speaker 1>genetic testing that twenty three and MEDAS and you being

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<v Speaker 1>part of the privacy part, you being part of the

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<v Speaker 1>privacy team, I know that part of your job is

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<v Speaker 1>to think about the risks involved than that, what do

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<v Speaker 1>I have that right? Is that a big part of

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<v Speaker 1>your job? Oh? Yeah, for sure. So at twenty three

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<v Speaker 1>and me, I'm you know, there's me, and there's a

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<v Speaker 1>whole privacy team that works cross functionally with like nearly

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<v Speaker 1>every team in the company to think through how we

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<v Speaker 1>use data and the risks involved so that we maintain

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<v Speaker 1>not only our strict privacy commitments to our customers, but

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<v Speaker 1>to also provide them with a secure and private place

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<v Speaker 1>to learn about themselves and make sure we comply with

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<v Speaker 1>a tapestry of evolving privacy laws. Um and we work

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<v Speaker 1>a little closely with teams like product engineering, security, marketing, HR,

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<v Speaker 1>coustomer care research and everyone in between to do that.

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<v Speaker 1>Um and. So, when you think about it, privacy not

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<v Speaker 1>only should be at the heart of every single cup organization,

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<v Speaker 1>but especially a place like twenty three and me where

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<v Speaker 1>we are dealing with such sensitive data. You know, whenever

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<v Speaker 1>a new product or idea comes up, we work with

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<v Speaker 1>our product and engineering teams very closely at the early

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<v Speaker 1>stages to address those privacy risks early on. Rather than later,

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<v Speaker 1>so it's not like an ad hoc solution at the end.

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<v Speaker 1>UM and we also continue to work with you know,

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<v Speaker 1>other UM stakeholders outside of our company, like the Future

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<v Speaker 1>of Privacy Forum the FPF UM. It's a think tank

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<v Speaker 1>and advocy advocacy group that's focused on data privacy. We've

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<v Speaker 1>collaborated with them and other genetic testing companies to develop

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<v Speaker 1>consumer genetic testing industry best practices. UM and twenty three

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<v Speaker 1>and is also part of a Coalition for Genetic Data

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<v Speaker 1>Protection UH, the c GDP UM and we work to

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<v Speaker 1>advance legislation and policies that support privacy and security for

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<v Speaker 1>UM genetic data, so all genetic testing companies will be

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<v Speaker 1>held to that same high standard that we have. And

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<v Speaker 1>so those are all of the great things that we

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<v Speaker 1>get to work on as the privacy team. Can you

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<v Speaker 1>tell me, like, walk me through some of the steps

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<v Speaker 1>that twenty three and ME does take to keep people's

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<v Speaker 1>data secure. Yeah, there's a lot that goes into that.

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<v Speaker 1>So UM twenty three and ME is ISO sort of fide.

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<v Speaker 1>We also hold other certifications to confirm our commitment to

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<v Speaker 1>customer security and privacy. Um ISO certifications are awarded after

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<v Speaker 1>extensive audits by an independent third party, so not within

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<v Speaker 1>twenty three and me UM, and we've been identified, we've

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<v Speaker 1>been certified under IS one seven oh one and twenty

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<v Speaker 1>seven eighteen UM and we're the first directed consumer genetic

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<v Speaker 1>testing company to be assessed against all those three standards.

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<v Speaker 1>So that's what we do on like the security front,

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<v Speaker 1>and there's a lot more. You know, we encrypted our

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<v Speaker 1>customer data so that like it's obviously more secure, so

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<v Speaker 1>INCRUP customer data. We limit access to customer data internally,

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<v Speaker 1>and we store data like in segregated databases, so it's

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<v Speaker 1>not like we just lump everything together UM. For example,

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<v Speaker 1>of customers, registration information like their name an email is

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<v Speaker 1>separately stored from their genetic information UM, and so this

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<v Speaker 1>reduces the risk of and incentive to commit a breach UM.

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<v Speaker 1>And we also empower customers to take UM take their

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<v Speaker 1>like security in their own hands, and we give them

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<v Speaker 1>tools like to step verification UM and other other like

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<v Speaker 1>guidance materials and things like that to keep themselves safe

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<v Speaker 1>and play that important role in maintaining their account security.

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<v Speaker 1>What about for folks who might be genetically rare, who

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<v Speaker 1>might be thinking like I have something particular about my

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<v Speaker 1>genetics that I feel might identify me or there's particular

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<v Speaker 1>ways that you all, UM could approach that kind of privacy. Yeah,

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<v Speaker 1>definitely UM For twenty three and me customers, as I mentioned,

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<v Speaker 1>like controls really important UM and how they how someone

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<v Speaker 1>wants to use their data or share it, they get

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<v Speaker 1>to make that choice. In addition to like the privacy

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<v Speaker 1>and security protections that we've talked about, UM, we have

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<v Speaker 1>the identification that we employ, so you know, removing that

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<v Speaker 1>registration information from genetic information and so on. That's a

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<v Speaker 1>measure of protection. We you know, store things in separate

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<v Speaker 1>places so that things aren't on together. UM. Customers who

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<v Speaker 1>want to participate in things like research, UM, they can

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<v Speaker 1>rest as shirt that we do take many measures to

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<v Speaker 1>protect their research participants and minimize associated with that participation. UM.

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<v Speaker 1>Not only are there access controls for customer information UM,

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<v Speaker 1>there are people you know, like we go buy role

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<v Speaker 1>based functions, so like not you know, one person doesn't

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<v Speaker 1>have access to every single customer at twenty three and ME.

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<v Speaker 1>It really depends on what their role is and what

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<v Speaker 1>makes sense for them to have access to UM and

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<v Speaker 1>under our main research consent UM when we share research

0:12:37.200 --> 0:12:40.120
<v Speaker 1>results outside of twenty three and ME, whether that's like

0:12:40.160 --> 0:12:43.360
<v Speaker 1>in a publication or with a third party collaborator, we

0:12:43.400 --> 0:12:47.960
<v Speaker 1>only share like the summary advocate information UM, and those

0:12:48.000 --> 0:12:52.320
<v Speaker 1>summer results in twenty three and publications are like statistics

0:12:52.440 --> 0:12:56.800
<v Speaker 1>or calculations UM that describe like the research findings UM

0:12:56.840 --> 0:13:00.520
<v Speaker 1>about some genetic associations that were discovered. UM. So for

0:13:00.559 --> 0:13:03.080
<v Speaker 1>an example, it's like, you know, in our study, variant

0:13:03.679 --> 0:13:06.760
<v Speaker 1>X was present in five percent of participants and was

0:13:06.800 --> 0:13:11.920
<v Speaker 1>associated with a higher risk of this disease. UM. And

0:13:11.960 --> 0:13:16.160
<v Speaker 1>so if a customer chooses to UM not often to

0:13:16.200 --> 0:13:18.760
<v Speaker 1>participate in research, or they were in research and then

0:13:18.760 --> 0:13:22.000
<v Speaker 1>they change their mind, UM, they're still able to access

0:13:22.040 --> 0:13:24.200
<v Speaker 1>all of the same reports and product features as a

0:13:24.200 --> 0:13:28.240
<v Speaker 1>customer who is participating in the research program. So UM,

0:13:28.280 --> 0:13:30.000
<v Speaker 1>you know, not only are there all these like different

0:13:30.280 --> 0:13:34.440
<v Speaker 1>privacy and security safeguards UM that customers can take themselves,

0:13:34.440 --> 0:13:36.679
<v Speaker 1>but we also make sure that we're really like keeping

0:13:36.760 --> 0:13:40.920
<v Speaker 1>data segregated, keeping access really locked down limited. But we're

0:13:40.960 --> 0:13:43.360
<v Speaker 1>also you know, in those instances like research where there

0:13:43.400 --> 0:13:47.120
<v Speaker 1>is that collaboration with outside collaborators, you know, making sure

0:13:47.160 --> 0:13:50.959
<v Speaker 1>that like that data is the identified, aggregated and really

0:13:51.000 --> 0:13:57.600
<v Speaker 1>minimized UM really really minimize at risk to our participants. Yeah,

0:13:57.640 --> 0:13:59.360
<v Speaker 1>I mean that's that's good to hear, and you kind

0:13:59.360 --> 0:14:02.400
<v Speaker 1>of touched on it it, you know, especially given the

0:14:02.480 --> 0:14:04.400
<v Speaker 1>kind of climate that we're in. I know, the big

0:14:04.480 --> 0:14:07.560
<v Speaker 1>question everybody has every time I give any kind of

0:14:07.640 --> 0:14:10.480
<v Speaker 1>information about myself to anyone anywhere, The big question is

0:14:10.480 --> 0:14:13.080
<v Speaker 1>always like what third parties are they? Are they giving

0:14:13.120 --> 0:14:15.840
<v Speaker 1>this information to write? Like I might consent to my

0:14:15.880 --> 0:14:18.120
<v Speaker 1>information being shared with twenties three and me, but are

0:14:18.120 --> 0:14:20.040
<v Speaker 1>they selling my data? Are they? Are they going to

0:14:20.120 --> 0:14:22.240
<v Speaker 1>give it to police? Like? How are they working with

0:14:22.680 --> 0:14:24.960
<v Speaker 1>organizations and institutions that are not twenty three and me?

0:14:25.080 --> 0:14:28.080
<v Speaker 1>So can you tell me a bit about how twenty

0:14:28.120 --> 0:14:31.080
<v Speaker 1>three and me handles data when it comes to third parties? Yeah, yeah,

0:14:31.120 --> 0:14:33.520
<v Speaker 1>of course, I think. You know, like, just like every company,

0:14:33.560 --> 0:14:36.160
<v Speaker 1>we have service providers who help us do the things

0:14:36.160 --> 0:14:38.760
<v Speaker 1>that we do, from like operating the business to improving

0:14:38.800 --> 0:14:42.400
<v Speaker 1>it UM And there's also you know, choices that a

0:14:42.440 --> 0:14:46.240
<v Speaker 1>customer can make about how their data is being handled

0:14:46.240 --> 0:14:48.840
<v Speaker 1>throughout the platform, like whether they want to participate in

0:14:48.920 --> 0:14:52.120
<v Speaker 1>research UM and so in that case, if someone does

0:14:52.120 --> 0:14:55.800
<v Speaker 1>participate in research, we only share their data based on

0:14:55.840 --> 0:14:59.320
<v Speaker 1>their explicit consent, and you know again that whole participation

0:14:59.400 --> 0:15:04.000
<v Speaker 1>is often entirely voluntary. So it's really about making sure

0:15:04.040 --> 0:15:07.280
<v Speaker 1>that the customer is pretty aware of who they're sharing

0:15:07.560 --> 0:15:11.080
<v Speaker 1>who their information will be shared with. Absolutely, Yes, that

0:15:11.120 --> 0:15:13.880
<v Speaker 1>makes a lot of sense. And but there's so many

0:15:14.000 --> 0:15:18.320
<v Speaker 1>other like genetic testing. You know, kids out there UM

0:15:18.360 --> 0:15:22.040
<v Speaker 1>are there just sort of like talking to usually put

0:15:22.080 --> 0:15:24.840
<v Speaker 1>me at ease in terms of like the privacy risks.

0:15:24.840 --> 0:15:28.440
<v Speaker 1>But I wonder, like are their privacy risks associated with

0:15:28.440 --> 0:15:30.880
<v Speaker 1>with genetic testing in general that folks should just be

0:15:30.920 --> 0:15:32.800
<v Speaker 1>aware of if this is something they're going to decide

0:15:32.840 --> 0:15:35.360
<v Speaker 1>to do for themselves. Yeah, you know, I think some

0:15:35.440 --> 0:15:38.800
<v Speaker 1>of the main privacy risks consumer may have. Consumers may

0:15:38.840 --> 0:15:43.960
<v Speaker 1>have UM concerned things like finding out stuff about themselves

0:15:44.520 --> 0:15:46.600
<v Speaker 1>or their family that they may not be prepared to

0:15:46.680 --> 0:15:50.560
<v Speaker 1>learn about UM and also law enforcement access into genetic

0:15:50.600 --> 0:15:54.160
<v Speaker 1>data UM so at twenty three and me. UM customers

0:15:54.160 --> 0:15:57.240
<v Speaker 1>are not automatically visible to others in the platform. You know,

0:15:57.320 --> 0:16:01.040
<v Speaker 1>they have to UM opted to in a relatives and

0:16:01.080 --> 0:16:03.520
<v Speaker 1>if they do, then they become visible to others and

0:16:03.600 --> 0:16:07.240
<v Speaker 1>they can also see who their genetic relatives are and

0:16:07.280 --> 0:16:11.280
<v Speaker 1>see those results. UM. Additionally, customers can also choose on

0:16:11.320 --> 0:16:14.520
<v Speaker 1>an often basis whether they want to see health reports,

0:16:14.600 --> 0:16:18.880
<v Speaker 1>particularly any sensitive health reports like our BRACA reports for

0:16:18.920 --> 0:16:22.680
<v Speaker 1>breast cancer risks and UM. We have educational materials and

0:16:22.720 --> 0:16:25.080
<v Speaker 1>training modules and things like that to also support and

0:16:25.120 --> 0:16:28.840
<v Speaker 1>prepare customers for that kind of information that they might receive.

0:16:29.520 --> 0:16:32.360
<v Speaker 1>And on the law enforcement access front, we are the

0:16:32.520 --> 0:16:35.480
<v Speaker 1>first direct to consumer genetic custing company to publish a

0:16:35.640 --> 0:16:39.880
<v Speaker 1>transparency report UM and that happened back in two thousands fifteen. UM.

0:16:39.920 --> 0:16:43.480
<v Speaker 1>It details you know, the types of law enforcement requests

0:16:43.480 --> 0:16:46.600
<v Speaker 1>that we've received and how we've responded UM. And this

0:16:46.680 --> 0:16:49.520
<v Speaker 1>is updated on a quarterly basis, and so far, we

0:16:49.560 --> 0:16:52.920
<v Speaker 1>haven't released any individual user data UM to any law

0:16:53.000 --> 0:16:57.320
<v Speaker 1>enforcement UM. And you know, something to be aware of

0:16:57.480 --> 0:17:00.000
<v Speaker 1>is also like that not all genetic custing companies share

0:17:00.040 --> 0:17:02.760
<v Speaker 1>these same values UM that we might have a twenty

0:17:02.800 --> 0:17:05.000
<v Speaker 1>three and so it's really important that customers who are

0:17:05.000 --> 0:17:09.199
<v Speaker 1>concerned with things like law enforcement request or how are

0:17:09.240 --> 0:17:12.959
<v Speaker 1>they going to become visible to other potential genetic relatives

0:17:13.080 --> 0:17:14.840
<v Speaker 1>or you know, the health reports that they're about to

0:17:14.840 --> 0:17:17.399
<v Speaker 1>get UM, those are things that are really important to

0:17:17.440 --> 0:17:25.920
<v Speaker 1>look into, um before choosing a genetic testament provider. More

0:17:25.960 --> 0:17:40.000
<v Speaker 1>after a quick break, let's get right back into it. Yeah,

0:17:40.119 --> 0:17:41.920
<v Speaker 1>just ask someone, I mean, like, while I've got you here,

0:17:42.000 --> 0:17:44.800
<v Speaker 1>as someone who knows a lot about privacy, what do

0:17:44.840 --> 0:17:47.879
<v Speaker 1>you see as the biggest privacy risk today that folks

0:17:47.880 --> 0:17:50.639
<v Speaker 1>should be aware of and have on their radar. Well,

0:17:50.680 --> 0:17:56.240
<v Speaker 1>I don't mean for this to sound like a uh,

0:17:56.240 --> 0:17:57.960
<v Speaker 1>I don't mean for this has done like a general

0:17:58.200 --> 0:18:00.480
<v Speaker 1>sort of like response here, but I do think that

0:18:00.520 --> 0:18:05.080
<v Speaker 1>one of the biggest privacy risks across industries, not just

0:18:05.080 --> 0:18:09.000
<v Speaker 1>genetic genetic testing, is that technology is rapidly changing and

0:18:09.040 --> 0:18:12.920
<v Speaker 1>evolving the way that we collect, interpret, use, share data,

0:18:13.280 --> 0:18:15.760
<v Speaker 1>and the laws are not necessarily keeping up with that. Um.

0:18:15.800 --> 0:18:18.080
<v Speaker 1>There are a lot of positives that come from technology

0:18:18.160 --> 0:18:21.680
<v Speaker 1>changing so quickly, Like you know, you have more data,

0:18:21.840 --> 0:18:25.640
<v Speaker 1>better insights, and there's more potential impact to your personal

0:18:25.640 --> 0:18:29.119
<v Speaker 1>health and wellness. Um. However, like the privacy risks that

0:18:29.200 --> 0:18:30.959
<v Speaker 1>come with that can be hard to predict. So it's

0:18:31.000 --> 0:18:35.080
<v Speaker 1>important that customers and like companies especially embrace privacy by

0:18:35.119 --> 0:18:38.880
<v Speaker 1>design values and get ahead of those risks. Um. Um, Yeah,

0:18:38.960 --> 0:18:41.840
<v Speaker 1>get ahead of those risks. Yeah, are there are there

0:18:41.840 --> 0:18:44.320
<v Speaker 1>any tips or ways that you would give folks to

0:18:44.400 --> 0:18:47.240
<v Speaker 1>like try to stay ahead of that. Like I am

0:18:47.320 --> 0:18:49.560
<v Speaker 1>someone who is I make a tech podcast. I try

0:18:49.560 --> 0:18:51.919
<v Speaker 1>to stay plugged in, but even things change and I

0:18:51.920 --> 0:18:53.720
<v Speaker 1>don't realize that, Like, are there are there ways that

0:18:53.760 --> 0:18:56.720
<v Speaker 1>folks can kind of get ahead of that. That's a

0:18:56.720 --> 0:19:00.840
<v Speaker 1>good question, I think, Um, you know, it's just really

0:19:00.920 --> 0:19:03.359
<v Speaker 1>it's kind of hard. There's so much going on at

0:19:03.400 --> 0:19:06.920
<v Speaker 1>any given time. UM. And you have certain industries that

0:19:06.960 --> 0:19:09.440
<v Speaker 1>are like going to change the way that we see

0:19:09.440 --> 0:19:11.600
<v Speaker 1>the world in ten years, like you know, machine learning

0:19:11.600 --> 0:19:14.800
<v Speaker 1>and AI and so on. UM. But I think, like,

0:19:14.840 --> 0:19:17.320
<v Speaker 1>you know, as a consumer, it's just really important to

0:19:17.480 --> 0:19:19.760
<v Speaker 1>understand how your data is being used and whether like

0:19:19.960 --> 0:19:22.760
<v Speaker 1>the values of a company are aligned with what you

0:19:22.800 --> 0:19:27.080
<v Speaker 1>care the most about, you know, any given sort of interaction. UM.

0:19:27.119 --> 0:19:29.119
<v Speaker 1>You know, as I mentioned for like genetic testing, what

0:19:29.240 --> 0:19:31.240
<v Speaker 1>a lot of consumers tend to be concerned about is

0:19:31.320 --> 0:19:34.200
<v Speaker 1>you know, law enforcement access or you know, what they're

0:19:34.240 --> 0:19:38.400
<v Speaker 1>gonna learn and how they're gonna be coached through that experience. UM.

0:19:38.600 --> 0:19:40.280
<v Speaker 1>And so you want to make sure if those are

0:19:40.280 --> 0:19:41.919
<v Speaker 1>things that are important to you, that you will like

0:19:42.040 --> 0:19:45.520
<v Speaker 1>find the right provider for that um so, short of

0:19:45.560 --> 0:19:49.560
<v Speaker 1>telling you read the privacy statements and like I know,

0:19:49.880 --> 0:19:54.359
<v Speaker 1>I know, sure, you know you like just being smart

0:19:54.480 --> 0:19:57.480
<v Speaker 1>about like how you're engaging with companies and the data

0:19:57.520 --> 0:19:59.800
<v Speaker 1>that you provide uh to them, I think is key.

0:20:00.400 --> 0:20:05.359
<v Speaker 1>And you know, also understanding that these companies are like

0:20:06.200 --> 0:20:08.000
<v Speaker 1>wanting to make sure that you're picking companies that are

0:20:08.040 --> 0:20:12.119
<v Speaker 1>thinking about privacy by design UM where it's not like

0:20:12.280 --> 0:20:15.640
<v Speaker 1>something that you wire on or you put into the

0:20:15.640 --> 0:20:18.119
<v Speaker 1>back end and like or at the end of the project,

0:20:18.560 --> 0:20:20.359
<v Speaker 1>and rather you think about it from the beginning. Like

0:20:20.400 --> 0:20:23.000
<v Speaker 1>the way that we thought about segregating our databases to

0:20:23.080 --> 0:20:26.640
<v Speaker 1>make sure that there isn't like one pool of data. Uh.

0:20:26.880 --> 0:20:29.840
<v Speaker 1>That was something that was thought about the first days

0:20:29.920 --> 0:20:33.720
<v Speaker 1>that three and Me was created um SO, and for

0:20:34.000 --> 0:20:36.240
<v Speaker 1>you know, the time that that was the two thousands,

0:20:36.280 --> 0:20:38.600
<v Speaker 1>that was pretty innovative compared to like some of the

0:20:38.600 --> 0:20:42.280
<v Speaker 1>other companies out there, UM and so, I think like

0:20:42.440 --> 0:20:45.600
<v Speaker 1>it's really about picking companies that think about privacy at

0:20:45.600 --> 0:20:49.119
<v Speaker 1>the ideation stages and implementing those privacy by design values

0:20:49.160 --> 0:20:52.680
<v Speaker 1>and thinking into their business processes UM that are going

0:20:52.760 --> 0:20:57.160
<v Speaker 1>to be the clear winners for consumers who care about privacy. UM.

0:20:57.280 --> 0:20:59.199
<v Speaker 1>The other piece of it, too is I think, you know,

0:21:00.200 --> 0:21:03.280
<v Speaker 1>legislation is starting to catch up on these privacy issues. UM.

0:21:03.320 --> 0:21:05.840
<v Speaker 1>And we've welcomed, you know, that's want to commit. We've

0:21:05.880 --> 0:21:09.160
<v Speaker 1>welcomed a lot of legislation on the genetic privacy front.

0:21:09.280 --> 0:21:14.360
<v Speaker 1>There's half a dozen date states such as California, Arizona, Utah,

0:21:14.880 --> 0:21:19.920
<v Speaker 1>UM and more and that have legislated on genetic privacy specifically. UM.

0:21:20.000 --> 0:21:22.200
<v Speaker 1>And we hope to see federal legislation on this front

0:21:22.200 --> 0:21:26.040
<v Speaker 1>as well. UM that goes beyond Gina, the Genetic Information

0:21:26.119 --> 0:21:32.199
<v Speaker 1>Nondiscrimination Act. UM. Yeah, awesome, that's really helpful. I have

0:21:32.240 --> 0:21:35.000
<v Speaker 1>one last rapid fire question for you. What is it

0:21:35.040 --> 0:21:37.159
<v Speaker 1>like to be in what I can only assume is

0:21:37.200 --> 0:21:42.160
<v Speaker 1>a super male dominated space, you know, privacy law. If

0:21:42.400 --> 0:21:43.920
<v Speaker 1>I don't know for sure, I don't have the data

0:21:43.960 --> 0:21:46.120
<v Speaker 1>in front of me, but I feel like it's probably

0:21:46.240 --> 0:21:49.560
<v Speaker 1>very male dominated. Is that is that accurate to say?

0:21:49.720 --> 0:21:52.280
<v Speaker 1>Actually kind of surprising. One thing that drew me into

0:21:52.320 --> 0:21:54.840
<v Speaker 1>privacy was that there was a lot of there is

0:21:55.000 --> 0:21:59.280
<v Speaker 1>still a lot of women in privacy. UM. And you know,

0:21:59.359 --> 0:22:02.679
<v Speaker 1>I think what the draw is is that it is

0:22:02.840 --> 0:22:09.040
<v Speaker 1>very like it's very privacy is not something that like you,

0:22:09.800 --> 0:22:13.560
<v Speaker 1>it's very um contextual, like there, you know, it takes

0:22:13.640 --> 0:22:19.879
<v Speaker 1>a lot of understanding different cultures and um, understanding different perspectives,

0:22:20.400 --> 0:22:22.480
<v Speaker 1>and so I do think it actually has a lot

0:22:22.560 --> 0:22:25.200
<v Speaker 1>more of a diverse group of people then you usually

0:22:25.280 --> 0:22:28.760
<v Speaker 1>might find another corporate functions. UM. And I also feel

0:22:28.800 --> 0:22:31.959
<v Speaker 1>like at twenty three and me particularly um, you know,

0:22:32.000 --> 0:22:34.240
<v Speaker 1>having a female CEO, we actually do have a lot

0:22:34.280 --> 0:22:37.480
<v Speaker 1>of female representation in the company. So it's it's been

0:22:37.560 --> 0:22:40.919
<v Speaker 1>a really wonderful environment from that end as well, um,

0:22:40.960 --> 0:22:43.160
<v Speaker 1>not only being in privacy, but in a company where

0:22:43.200 --> 0:22:46.760
<v Speaker 1>there is a lot of women, um being represented. I

0:22:46.800 --> 0:22:48.560
<v Speaker 1>love that. I feel like I asked that question to

0:22:49.280 --> 0:22:52.000
<v Speaker 1>a lot of women and so often they're like, girl,

0:22:52.080 --> 0:22:54.320
<v Speaker 1>let me tell you it's but it's nice to have

0:22:54.359 --> 0:22:56.840
<v Speaker 1>a refreshing answer that's like, actually there are a lot

0:22:56.840 --> 0:23:00.880
<v Speaker 1>of women represented here, even at the top, and it's great. Yeah, yeah,

0:23:00.960 --> 0:23:03.159
<v Speaker 1>it's funny. You know. Over the years, I've actually just

0:23:03.200 --> 0:23:06.080
<v Speaker 1>seen a lot more men showing up to the party

0:23:06.080 --> 0:23:11.240
<v Speaker 1>a little late later, you know. UM, So it's it's

0:23:11.240 --> 0:23:14.280
<v Speaker 1>been it's been great. I think like, um, this is

0:23:14.320 --> 0:23:16.080
<v Speaker 1>going to continue to be a place where there's going

0:23:16.160 --> 0:23:17.720
<v Speaker 1>to be a lot of diversity, because it's kind of

0:23:17.720 --> 0:23:20.439
<v Speaker 1>a compartment of the job. To do it well and

0:23:20.480 --> 0:23:23.919
<v Speaker 1>to think about privacy um in a thoughtful way, you

0:23:24.040 --> 0:23:33.639
<v Speaker 1>have to have diverse perspectives at the table. After talking

0:23:33.640 --> 0:23:36.040
<v Speaker 1>to Serena, I felt a lot better, and I actually

0:23:36.080 --> 0:23:38.000
<v Speaker 1>did the test, and I want to share a little

0:23:38.000 --> 0:23:39.840
<v Speaker 1>bit about what I learned because I think it's pretty cool.

0:23:40.119 --> 0:23:42.600
<v Speaker 1>Like a lot of black families, my family ties are

0:23:42.680 --> 0:23:45.520
<v Speaker 1>not all necessarily by blood. You know, my mom didn't

0:23:45.560 --> 0:23:47.879
<v Speaker 1>grow up with our biological family, which means that I

0:23:47.920 --> 0:23:50.200
<v Speaker 1>grow up with a lot of what we call play cousins,

0:23:50.560 --> 0:23:52.280
<v Speaker 1>and a lot of the people that I called auntie

0:23:52.320 --> 0:23:55.080
<v Speaker 1>were not actually related to me by blood. Now, this

0:23:55.200 --> 0:23:58.000
<v Speaker 1>is just one of the many layered and beautiful aspects

0:23:58.160 --> 0:24:01.359
<v Speaker 1>of black family dynamics. After doing twenty three and me,

0:24:02.000 --> 0:24:04.240
<v Speaker 1>I found that I actually have blood cousins and I

0:24:04.280 --> 0:24:07.119
<v Speaker 1>had no idea about one of whom is a professional

0:24:07.200 --> 0:24:10.280
<v Speaker 1>hypnotist who actually lives in my same city, you know

0:24:10.480 --> 0:24:13.000
<v Speaker 1>who knew. I also found that, like a lot of

0:24:13.040 --> 0:24:15.159
<v Speaker 1>black folks, I am a carrier for the trait of

0:24:15.160 --> 0:24:18.360
<v Speaker 1>the disease sickle cell anemia. Now that's different than actually

0:24:18.400 --> 0:24:20.600
<v Speaker 1>having the disease sickle cell. It just means that I

0:24:20.640 --> 0:24:23.160
<v Speaker 1>carry the trait for it, and it's actually really really

0:24:23.200 --> 0:24:26.639
<v Speaker 1>common in black folks. According to the CDC, the United

0:24:26.640 --> 0:24:29.479
<v Speaker 1>States incidents estimate for sickle cell trade was about seventy

0:24:29.480 --> 0:24:33.000
<v Speaker 1>three point one cases per every thousand black newborns in

0:24:33.000 --> 0:24:35.639
<v Speaker 1>the United States. And it turns out that this is

0:24:35.680 --> 0:24:39.480
<v Speaker 1>actually super useful information for me to have because having

0:24:39.520 --> 0:24:42.720
<v Speaker 1>this trade has been used as a pretty convenient explanation

0:24:43.160 --> 0:24:45.720
<v Speaker 1>for when black people die in police custody, and if

0:24:45.720 --> 0:24:48.679
<v Speaker 1>a disproportionate number of black folks have this trait, it

0:24:48.720 --> 0:24:51.320
<v Speaker 1>can basically be used as a way to not direct

0:24:51.400 --> 0:24:54.240
<v Speaker 1>more scrutiny when a black person dies in police custody.

0:24:54.480 --> 0:24:57.680
<v Speaker 1>The president for the American Society of Hematology recently published

0:24:57.680 --> 0:24:59.280
<v Speaker 1>a letter in The New York Times on the subject,

0:24:59.720 --> 0:25:02.440
<v Speaker 1>call the rush to use sickle cell trade to exuplain

0:25:02.520 --> 0:25:05.439
<v Speaker 1>away when a black person dies in police custody the

0:25:05.440 --> 0:25:08.959
<v Speaker 1>professional misuse of science that further contributes to racial bias

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<v Speaker 1>and social injustice in our country. So knowing that I

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<v Speaker 1>have this trade can definitely be helpful for me in

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<v Speaker 1>better understanding how I navigate this world as a black woman,

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<v Speaker 1>and I learned it from twenty three and me listen.

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<v Speaker 1>There are risks involved anytime you were giving your DNA

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<v Speaker 1>to any kind of company. But for me, after educating

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<v Speaker 1>myself about the risks, I actually felt okay to move

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<v Speaker 1>forward and the information I learned about my family and

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<v Speaker 1>my health was worth it. If you're looking for ways

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<v Speaker 1>to support the show, check out our merch store at

0:25:44.640 --> 0:25:48.399
<v Speaker 1>tangodi dot com slash Store. Got a story about an

0:25:48.400 --> 0:25:50.280
<v Speaker 1>interesting thing in tech, or just want to say hi,

0:25:50.720 --> 0:25:53.040
<v Speaker 1>You can reach us at Hello at tangodi dot com.

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<v Speaker 1>You can also find transcripts for today's episode at tangodi

0:25:55.520 --> 0:25:57.560
<v Speaker 1>dot com. There Are No Girls on the Internet was

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<v Speaker 1>created by me Bridgetad. It's a production of Heart Radio

0:26:00.560 --> 0:26:04.600
<v Speaker 1>and Unboss Creative, edited by Joey Pat Jonathan Strickland as

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<v Speaker 1>our executive producer, Terry Harrison as our producer and sound engineer.

0:26:08.440 --> 0:26:11.640
<v Speaker 1>Michaelmato is our contributing producer. I'm your host, Bridget Todd.

0:26:12.000 --> 0:26:13.720
<v Speaker 1>If you want to help us grow, rate and review

0:26:13.800 --> 0:26:17.080
<v Speaker 1>us on Apple Podcasts. For more podcasts from I Heart Radio,

0:26:17.240 --> 0:26:19.480
<v Speaker 1>check out the iHeart Radio app, Apple podcast, or wherever

0:26:19.480 --> 0:26:29.639
<v Speaker 1>you get your podcasts, and That's It on another Dope show.

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<v Speaker 1>Did this episode inspire you to take a closer look

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<v Speaker 1>at your health history, your genetic makeup. Who new DNA

0:26:36.320 --> 0:26:38.960
<v Speaker 1>could reveal so much about our past while also holding

0:26:39.000 --> 0:26:42.080
<v Speaker 1>the keys to certain health insights that may impact our future.

0:26:42.800 --> 0:26:45.679
<v Speaker 1>I continue to be inspired by these stories, and I

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<v Speaker 1>hope you do as well. Catch you next time. Listen

0:26:50.600 --> 0:26:53.639
<v Speaker 1>to Spit, an original podcast from I Heart Radio and

0:26:53.680 --> 0:26:56.119
<v Speaker 1>twenty three in the on the I Heart Radio app,

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<v Speaker 1>Apple podcast, or wherever you get your podcast. Four