- Jul 10: I was interviewed about the problems with ICE using DMV databases and facial recognition to search for suspects (Cat Sandoval, Newsy)
- Jul 3: I delivered an invited tutorial at PODS 2019 (warning: 8.6 MB!) on algorithmic fairness
- May 22-23: I was at the CCC workshop on Fairness in Economics in Boston.
- May 20-21: I attended an Amnesty International event in the Netherlands on predictive policing in Europe.
- May 15: Ashkan Bashardoust presented our paper on Gaps in Information Access in Networks at the 2019 Web Conference. See also the blog post by Ben Fish.
- Dec 3-4: Visiting Harvard Law to help international humanitarian lawyers understand ML and talk about risk assessments in the military.
- Oct 29, 2018: I was interviewed by Rose Eveleth for Motherboard: Facing Tomorrow's High-Tech School Surveillance
- Oct 16, 2018: I talked about "The computational and ethical ramifications of automated decision-making in society" at Brown University.
- Oct 3, 2018: I talked about "The computational and ethical ramifications of automated decision-making in society" at Wellesley College.
- Oct 2, 2018: I gave a lecture Towards a theory (or theories) of fairness" at the ToC colloquium at MIT.
- 1/10: I'll talk about the math behind gerrymandering at the Whitmore Library (event sponsored by the Fair Redistricting Caucus of Utah).
- A report on the use of double blind reviewing at ALENEX 2018 (which I co-chaired).
- A new blog post on our work that mathematically models predictive policing, explains why current methods will not work, and shows how to fix them.
- 1/6-1/10: I'll be at ALENEX and SODA in New Orleans.