Looking for a primer on generative AI? This open course, offered by our lab faculty director @5harad and affiliate Teddy Svoronos, provides an introduction to how GenAI works, how to use it, and the larger opportunities and challenges it poses for society. zurl.co/2anx

Some personal news: I’m back at New York University in a new role as an assistant professor of computational social science at NYU Steinhardt ASH! I’ll also continue to lead the @comppolicylab as a faculty co-director. New York friends, get in touch and we can grab a coffee!

Want to use ChatGPT in your teaching but don't have much time⏱️to learn how? If so, this webinar recording from Harvard Business Publishing Education might be helpful.

Data collected since 2018 under the Racial and Identity Profiling Act help measure disparities in California police traffic stops.Alex Chohlas-Wood contributed data to highlight these disparities for a story in the San Francisco Chronicle: zurl.co/J7xX

Are you a prospective PhD student interested in combining statistical, computational, and social science approaches to address pressing societal problems? My dept NYU Steinhardt ASH is starting a PhD program in computational social science. Learn more at our final info session this Thu!

Our co-director Alex Chohlas-Wood spoke with Arnold Ventures about the role AI can play in supporting fair charging decisions. Read more about our race-blind charging project, which aims to mitigate unintended biases in the justice system: zurl.co/PbW2

Congratulations to our own @jgaeb1 and @5harad for winning Best Paper at #EAAMO2024!

The use of race in clinical risk models is heavily debated. While race-aware models can be more accurate, some are concerned about reinforcing racialized views of medicine. In our paper in Annals of Int Med, we offer a new perspective on this debate. 🧵👇 annals.org/aim/article/do…

Less than one week to join our study on using AI to improve education! Give your students access to a free virtual tutor & receive a $1,000 honorarium. Apps open for college instructors (esp. those teaching math, comp science, stats, & econ) until Dec 16: zurl.co/WitA

NEW in Management Science! My coauthors and I came up with a new consequentialist approach to designing equitable algorithms. Instead of imposing fairness criteria on an algorithm (like equal false negative rates), we aim for good outcomes. More in the 🧵 below! (1/)

HKS researchers—including @5harad, Soroush Saghafian, and Madison Coots—created an analytical framework that informs the ongoing medical debate over whether to use race-unaware or race-aware risk assessments ken.sc/4gEAvig