Oringer Seminar Series
Fairness, accountability and transparency in automated decision-making
In the last few years we've seen the rapid rise of automated decision making systems in all areas that touch our lives, whether it be hiring, credit scoring, university admissions, medical diagnosis and the entire pipeline of criminal justice. We've begun to tease out the technical problems arising from the deployment of such systems, focused around issues of fairness, accountability and transparency (FAT).
In this talk I'll take a look back and a peek forward. I'll outline the research problems at the core of this new discipline, both in the core area of machine learning and beyond to other areas in CS, and present what we've learnt so far. I'll also present a vision for the next set of challenges on the technical side and beyond.
Contact: Diane Goodfellow email@example.com