no code implementations • 12 Apr 2020 • Cynthia Dwork, Christina Ilvento, Meena Jagadeesan
It is well understood that a system built from individually fair components may not itself be individually fair.
no code implementations • 4 Apr 2020 • Cynthia Dwork, Christina Ilvento, Guy N. Rothblum, Pragya Sur
Our principal conceptual result is an extraction procedure that learns the underlying truth; moreover, the procedure can learn an approximation to this truth given access to a weak form of the oracle.
no code implementations • 20 Jun 2019 • Shuchi Chawla, Christina Ilvento, Meena Jagadeesan
Fairness in advertising is a topic of particular concern motivated by theoretical and empirical observations in both the computer science and economics literature.
no code implementations • 1 Jun 2019 • Christina Ilvento
There has been much discussion recently about how fairness should be measured or enforced in classification.
no code implementations • 15 Jun 2018 • Cynthia Dwork, Christina Ilvento
Algorithmic fairness, and in particular the fairness of scoring and classification algorithms, has become a topic of increasing social concern and has recently witnessed an explosion of research in theoretical computer science, machine learning, statistics, the social sciences, and law.