International Workshop on Statistical Discrimination
Johannes Guttenberg-University Mainz
18.-19. August, 2022
Statistical Generalizations are obviously useful and politically important. But they also come with a threat of discrimination. This raises questions at the intersection of ethics, politics, and data science. What, as a matter of ethics, is wrong with statistical discrimination? Why, in particular, is it wrong to base differential treatment on statistical evidence – evidence which, in many other cases, we do not hesitate to take into account? How does statistical discrimination relate conceptually to other forms of objectionable discrimination? What practical lessons can be drawn for, say, policing and surveillance and for the development of non-discriminating programs and algorithms? This workshop will explore these questions, both those of the more general ethical and conceptual kind, and the questions targeting automated decision-making based on big data and artificial intelligence. It aims at identifying cases where statistical generalizations are morally problematic and at discussing possible solutions.
Organized by Tim Henning and Hauke Behrendt
Funded by Fritz Thyssen Stiftung
Meeting Program
- August Day 1: The Wrong(s) of Statistical Discrimination
9:30 – 10:00 Welcome reception
10:00 – 11:30 Wilfried Hinsch (Köln),
„Algorithmic Scoring and Individual Fairness“
11:30 – 11:45 Coffee break
11:45 – 13:15 Lily Hu (Yale)
Can wrongful discrimination not be statistical?
13:15 – 14:30 Lunch break
14:30 – 16:00 Daniel James (Düsseldorf), Jaana Jukola (Bonn), Tereza Hendl (Augsburg)
Conceptual Ethics of Racial and Ethnic Categorization and Data Collection
16:00 – 16:15 Coffee break
16:15 – 17:45 Kasper Lippert Rasmussen (Aarhus)
Algorithmic and Non-Algorithmic Fairness: Should We Revise our View of the Latter on Account of Our View of the Former?
19:00 Dinner
- August Day 2: Measuring Algorithmic Fairness
09:30 – 11:00 Brian Hedden (Canberra)
Evidence, Decisions, and Algorithmic Fairness
11:00 – 11:30 Coffee break
11:30 – 13:00 Wulf Loh (IZEW)
Can you feel my pain tonight? On epistemic injustice by automated pain detection systems
13:00 – 14:30 Lunch break
14:30 – 16:00 Hauke Behrendt (Stuttgart)
Affected in the Loop – A workable solution to Statistical Discrimination through Artificial Intelligence?
16:00 – 16:30 Closing discussion
International Workshop on Statistical Discrimination
JGU Mainz, August 18-19 2022
Participants: Rima Basu (Claremont), Hauke Behrendt (Stuttgart), Christine Bratu
(Göttingen), Tereza Hendl (Augsburg), Tim Henning (Mainz), Lily Hu (Harvard) Daniel
James Țurcaș (Düsseldorf), Brian Hedden (Canberra), Saana Jukola (Bonn), Kasper
Lippert-Rasmussen (Aarhus) Wulf Loh (IZEW Tübingen).
Organization: Hauke Behrendt (Stuttgart) & Tim Henning (Mainz)
Participants welcome. Please register via email: praktische-philosophie[at]uni-mainz.de
More informations follow as sone as possible.
Internationaler Workshop zu Statistischer Diskriminierung
JGU Mainz, 18.-19. August 2022
Beteiligte: Wilfried Hinsch (Köln), Hauke Behrendt (Stuttgart), Tereza Hendl (Augsburg), Tim Henning (Mainz), Lily Hu (Harvard) Daniel
James Țurcaș (Düsseldorf), Brian Hedden (Canberra), Saana Jukola (Bonn), Kasper
Lippert-Rasmussen (Aarhus) Wulf Loh (IZEW Tübingen).
Organisation: Hauke Behrendt (Stuttgart) & Tim Henning (Mainz)
Weitere Gäste/Teilnehmende sind erwünscht. Bitte melden Sie sich per Mail an: praktische-philosophie[at]uni-mainz.de
Weitere Informationen folgen.