Navigating fairness-accuracy tradeoffs via disqualification

If you know a little bit about algorithmic fairness, you know that group fairness metrics are a popular way to quantify the extent to which a given classifier is supposedly...

My highlights from ACM FAT* 2020

I’m back from FAT* 2020 (which will from now on be known as FAccT, and held next year in Toronto). This is a good time to round up a few...

Making the most of the Internet

As we all know, the internet is an incredible body of knowledge. To put things in perspective: today, anyone with internet access (be it in the US or in Malaysia)...

The Tale of 1001 Black Boxes

If you have internet access and a general interest in AI, you’ve stumbled upon the recent story of Amazon trying to build a machine learning algorithm (or the fancy term...