Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

Introduction to Provably Fair Gaming Algorithms

Our scientific ethos, our scientific community at the Institute of Philosophy at the University of Stuttgart

Although there are a significant number of principles that seek ethical AI, they only provide high-level guidance on what should or should not be done in its development and there is very little clarity on what the best practices are for putting them into operation. The objective of this manual is to provide these recommendations and good techni…

My PhD thesis in NUS. Making it public so that future graduate students may benefit.

Project for the FEAML course, Spring 2019

💬 Talk on "Fair Inference on Outcomes" (R. Nabi & I. Shpitser, 2017), for M. Hardt's "Fairness in Machine Learning" seminar at Berkeley, Fall 2017