Analyzing 100 million traffic stops across the U.S., we find evidence of persistent racial bias in police stops and search decisions. After 5 years & 10k+ hours of work by an amazing team of researchers, our results have just come out in Nature Human Behaviour. 5harad.com/papers/100M-st…

Hey all! The ACM FAccT TUTORIAL DEADLINE is FRIDAY (AoE). Submit your amazing tutorials now! facctconference.org/2021/cft.html x.com/FAccTConferenc…

I finally read this zeynep tufekci piece and it is SO good There's a lot that drives me crazy about communication in this pandemic Thing that I find most annoying? The idea that people can't handle nuance Its paternalistic. And untrue Read this theatlantic.com/ideas/archive/…

Great thread on how advocates are on course to successfully cripple large swathes of social science research by getting rid of access to anonymized census microdata in order to prevent a hypothetical reconstruction of non-sensitive data that has never been successfully done

If you are in California, please take the time to vote in the recall election!!! It's important!

The type of questions that bask in the nuance of fairness and for which there are no mathematically provably right answers. The kinds that make you understand multiple people's perspectives and think about power and who's not being heard.

Happy to share our paper “Two-sided fairness in rankings via Lorenz dominance”, accepted to #NeurIPS2021 (w/ Sam Corbett-Davies, J. Atif & Nicolas Usunier) 🎊 We propose a new framework for fair recommendation, grounded in welfare economics. arxiv.org/abs/2110.15781 1/4

Happy to announce our paper “Online certification of preference-based fairness for recommender systems”, accepted to #AAAI2022, w/ Sam Corbett-Davies, J. Atif and Nicolas Usunier! 🎉 AAAI Facebook AI MILESDauphine Université Paris Dauphine - PSL arxiv.org/abs/2104.14527 1/4

The overwhelming evidence for 3rd shot boosters *before* Omicron, reinforced by new data for benefit vs Omicron 1. The randomized trial of 3 shots vs 2 shots + placebo, 95% efficacy for preventing symptomatic infections across all age 16+ groups (N=10,125) cdc.gov/vaccines/acip/…

Paper! with Ro E , Bobbie Chern, Sam Corbett-Davies , Miranda Bogen , Stevie Bergman , Sharad Goel. We propose a strategy to construct more equitable datasets for training ML models. Paper: arxiv.org/abs/2202.01327 Thread: 1/

It’s official, we won the Outstanding Paper Award at #AAAI2022! 🤩 I am so incredibly grateful to my co-authors and mentors Sam Corbett-Davies, Jamal Atif and Nicolas Usunier! @MetaAI Université PSL Université Paris Dauphine - PSL LAMSADE MILESDauphine AAAI

Who's attending FAccT in person this year? I'd love to get back to in-person conferences but there's no point if everyone is tuning in remotely!

can I please just have an app to watch fun videos from strangers and an app to see my friends' wedding pics, and not have them all try to be both? please

Straightforward for Musk from here: 1. Forced to buy Twitter 2. Has an excuse to run it into the ground 3. Twitter dies, Musk no longer distracted tweeting 4. Tesla, SpaceX get their CEO back 5. Climate change solved, humans on Mars

(please retweet) I am taking CS PhD students! If you are interested in ML, data science, health, or inequality, please apply to Cornell :) We have an island campus in New York City and a fantastic group of students I feel lucky to collaborate with every day. Join us!

ChatGPT makes what might be a novel contribution (?!) to the catalog of ML fairness metrics:

It takes careful prompt engineering to get ChatGPT to embarrass itself:

A southern European idea we need to bring to America — bars in playgrounds

My common sense dem manifesto for an inclusive, big tent party that can meaningfully contest elections everywhere and deliver freedom and broadly shared prosperity for all Americans. slowboring.com/p/a-common-sen…

Using lung cancer screening as an extended case study, we unpack these four categories of fairness concerns and discuss popular approaches for addressing them. Ultimately, we show that these approaches, if deployed, may in fact WORSEN outcomes for individuals across all groups.