Rerun: AI ethics advice from former White House technologist - Kasia Chmielinski (Co-Founder, The Data Nutrition Project)

Hey. It's the Product Experience podcast, and I'm Randy. And I'm Lily. And it's been a while since we did an intro together. Yeah. We were lucky enough to join Pandemonium earlier this year, emceeing the Mind and Product stage while the other person interviewed people for the podcast. And it's been great to meet people face to face, but we've missed being together, so we promise to do more intros together. We met a lot of amazing people in North Carolina, but today's guest might have been my favorite. Don't tell any of the others. They're an adviser to the UN. They've worked with the White House. They were part of MIT Scratch, which might be my favorite part of the whole thing, and they also helped scale The US' COVID response. Kasia Kamalinski gave a great talk on stage then sat down with Randy to dig even deeper on data nutrition in this interview. Let's get right to it. Hey. We're here in Raleigh at Pandemonium, and I'm here with Kasia, and they just got off stage and gave this amazing talk. And we were hanging out yesterday and had some really good things to talk about as well, and we're gonna get really into all this stuff. But first, for anyone who isn't here and didn't get a chance to see you, can we just do a quick introduction? Tell us what are you doing these days and how did you get into this world in the first place? Yeah. Thanks for having me. It's great. The energy here is fantastic. Or for those who can't see us, we're surrounded by small bright pink dinosaurs, which I love. It's a good vibe. Yeah. So my name is Kasia. I am a technologist. I've been building products for twenty years, which is a scary thing to say. As a product manager, and I've worked in a number of different places. At this point, I'm really focused on responsible AI and data and ethics, and I do this as a consultant. So I work with a number of organizations, including the United Nations, and I also run a small nonprofit called the Data Nutrition Project. We build nutrition labels for datasets. Which is fantastic, and we will definitely get into all of that. Let's start with the UN though. Tell us a little bit about the work you do with them. So the UN is massive. So shorthand, I say I work at I work with the UN, but there's actually so many different components, and I'm still learning the system. I've been an adviser with them for about three years, I wanna say. Two different parts of the UN, both of which are really thinking hard about data quality, data standards, and then how to use data, either internal UN data or external third party data to build and deploy algorithmic systems that will benefit the sector. So what that really means is I'm I'm a team of …