Ethics against the odds?

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


  1. 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



  1. 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]


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]


Weitere Informationen folgen.