Fair machine learning techniques and the problem of transparency

Fair machine learning techniques and the problem of transparency

An important topic considered this year at the International Conference on Neural Information Processing Systems (NIPS), one of the prime outlets for machine learning and Artificial Intelligence research in the world, is the connection between machine learning, law and ethics. In particular, a paper presented by Moritz Hardt, Eric Price, and Nathan Srebro focused on Equality … Continue reading Fair machine learning techniques and the problem of transparency

Originally posted at http://unbias.wp.horizon.ac.uk/2017/02/11/fair-machine-learning-techniques-and-the-problem-of-transparency/

http://unbias.wp.horizon.ac.uk/2017/02/11/fair-machine-learning-techniques-and-the-problem-of-transparency/