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Judging Facts, Judging Norms: Training Machine Learning Models to Judge Humans Requires a New Approach to Labeling Data

29. November 2022/18:00 - 19:30

Online Lecture Series Wintersemester 2022/2023

Lecture by Gillian Hadfield, University of Toronto

Machine learning-based systems developed to make automated decisions about whether rules are violated will not reproduce human judgments if they are built using currently standard techniques for ML data collection.


Prof. Dr. Christoph Burchard (Professor of Criminal Law and Criminal Procedure at Goethe University and Principal Investigator of the Research Centre “Normative Orders”, Research Initiative “ConTrust”)

Prof. Dr. Indra Spiecker gen. Döhmann (Professor of Public Law, Environmental Law, Information Law and Administrative Sciences and Principal Investigator of the , Research Initiative “ConTrust”)

The complete program of the lecture series can be found here…

Online via Zoom. Registration at office@normativeorders.net is required. Login details will be sent after registration.


29. November 2022
18:00 - 19:30
Event Category:


The lecture will take place via Zoom. Please register at office@normativeorders.net to receive the login data.


„ConTrust. Vertrauen im Konflikt. Politisches Zusammenleben unter Bedingungen der Ungewissheit“ – ein Clusterprojekt des Landes Hessen am Forschungsverbund „Normative Ordnungen“ der Goethe-Universität Frankfurt am Main
Frankfurter Gespräche zum Informationsrecht des Lehrstuhls für Öffentliches Recht, Umweltrecht, Informationsrecht und Verwaltungswissenschaften