Personalized AI-Based Interventions Against Online Norm Violations: Behavioral Effects And Ethical Implications
Personalized AI-Based Interventions Against Online Norm Violations: Behavioral Effects And Ethical Implications
October 2019 December 2022
October 2019 December 2022

Undesirable online behaviors, such as disseminating fake news or cyber-bullying, can affect public discourse and cause substantial personal harm or harm to democratic processes. Despite progress in artificial intelligence (AI) to address these issues, purely technical solutions are still out of reach.
This project combines expertise from psychology, ethics and informatics to conduct multi-disciplinary research on the psychological potential and ethical and technical prerequisites of personalized AI-based interventions targeting perpetrators of undesirable online behaviors. We use extensive experimentation online and in the lab, coupled with the theoretical development of a robust ethical framework.
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Principal Investigators
Researchers

Prof. Dr. Anna Baumert, TUM School of Education, TUM and Max Planck Institute for Research on Collective Goods, Bonn

Prof. Dr. Jens Grossklags, Department of Informatics, TUM
Researchers
- Dr. Julia Sasse, Senior Research Fellow, Max-Planck-Institute for Research on Collective Goods
- Niklas Cypris, Max-Planck-Institute for Research on Collective Goods
- Severin Engelmann, Department of Informatics, TUM
- Felix Fischer, Department of Informatics, TUM
- Tina Kuo, Department of Informatics, TUM