Paper on bias, disciminiation and equity of algorithms
When does bias become unlawful discrimination?
Fairness is often measured by comparing ROC curves. But this only tells part of the story.
Paper on Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking
Axis publications
In the media
For remote or local facial recognition, the ethical issues are not the same
Digital Trust, Data Science & AI, Faculty Members — 09/03/2020There are many uses of facial recognition, such as local identity [...]
"Integrating ethics into algorithms raises titanic challenges"
Digital Trust, Faculty Members — 07/12/2019Two researchers from Télécom Paris, David Bounie and Winston Maxwell, describe in an op-ed piece to Le [...]
Algorithms: bias, discrimination and equity
Digital Trust, Data Science & AI, Faculty Members — 26/02/2019Algorithms are becoming more and more involved in our daily lives, such as decision support algorithms [...]
Other publications
- Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking, feb 2020, Télécom Paris, Institut Polytechnique de Paris. [Download PDF]
