Data-driven systems can be unfair, in many different ways. All too often, as data scientists, we focus narrowly on one technical aspect of fairness. In this paper, we attempt to address equity broadly, and identify the many different ways in which it is manifest in data-driven systems.
|Original language||English (US)|
|Journal||CEUR Workshop Proceedings|
|State||Published - 2021|
|Event||2021 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2021 - Nicosia, Cyprus|
Duration: Mar 23 2021 → …
ASJC Scopus subject areas
- Computer Science(all)