Collaborative AI Counters Hate

Project Information

AI4Dignity

Grant agreement ID: 957442

DOI 10.3030/957442

Project closed

EC signature date 10 August 2020

Start date 1 January 2021

End date 30 June 2022

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 0,00

EU contribution € 150 000,00

Coordinated by

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Germany

Publications

Other (5)

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Author(s): T. Schick, S. Udupa, H Schütze
Published in: arxiv, accepted at TACL, 2021
Publisher: Cornell University

Listening to affected communities to define extreme speech: Dataset and experiments.

Author(s): A. Maronikolakis, A. Wisiorek, L. Nann, H. Jabbar, S. Udupa and H. Schuetze
Published in: ACL 2022 Findings, 2022
Publisher: Arxiv

Ethical Scaling for Content Moderation: Extreme Speech and the (In)Significance of Artificial Intelligence

Author(s): S. Udupa, A. Maronikolakis, H. Schuetze, A. Wisiorek
Published in: Shorenstein Center Discussion Papers, Harvard University, 2022
Publisher: Shorenstein Center, Harvard Kennedy School

Artificial Intelligence, Extreme Speech and the Challenges of Online Content Moderation

Author(s): S. Udupa, E. Hickok, A. Maronikolakis, H. Schuetze, L. Csuka, A. Wisiorek, L. Nann
Published in: AI4Dignity Policy Brief, 2021
Publisher: LMU Munich and co-listed by the European Disinformation Observatory

Artificial Intelligence and the Cultural Problem of Online Extreme Speech

Author(s): S. Udupa
Published in: Social Science Research Council Items, 2020
Publisher: Social Science Research Council