Uploaded July 2023 | Updated September 2026, 1 day ago
Recorded as part of the Carl Friedrich von Weizsäcker Colloquium on June 21st
Some limitations of algorithmic fairness, and their relations with knowledge
- Maël Pegny (CFvW Center, Tübingen)
In this presentation, I will show several limitations of the current debates on algorithmic fairness. I will argue that those debates do not take sufficiently into account the following issues:
-Does the decision rest solely on predictions, or also on non-predictive criteria?
-what are the effects of data noise, as opposed to data bias, for fairness issues?
- is the social good being distributed by the decision truly desirable for the applicants?
All those issues will bring to the fore the relation between fairness and limitations of knowledge.
Explore our colloquium schedule on our website: bit.ly/3sM4IFX
Recorded as part of the Carl Friedrich von Weizsäcker Colloquium on June 21st
Some limitations of algorithmic fairness, and their relations with knowledge
- Maël Pegny (CFvW Center, Tübingen)
In this presentation, I will show several limitations of the current debates on algorithmic fairness. I will argue that those debates do not take sufficiently into account the following issues:
-Does the decision rest solely on predictions, or also on non-predictive criteria?
-what are the effects of data noise, as opposed to data bias, for fairness issues?
- is the social good being distributed by the decision truly desirable for the applicants?
All those issues will bring to the fore the relation between fairness and limitations of knowledge.
Explore our colloquium schedule on our website: bit.ly/3sM4IFX
