Severin Engelmann

Severin Engelmann is a PhD Student at the Chair of Cyber Trust. He is currently on academic visit at Prof. Anna Baumert's research group on Moral Courage at the Max Planck Institute for Research on Collective Goods in Bonn, Germany.

His Ph.D. is dedicated to three research projects: first, he studies different measures of social norm propagation in the Chinese Social Credit System. Second, he explores the moral implications of human inference-making for deep learning-based image analysis. Finally, he works on alternative forms of governance for social media platforms.

Severin pursued a Master’s Degree in Philosophy of Technology and a Postgraduate Degree in Computer Sciences at the Technical University of Munich. Prior to that, he completed a Bachelor's Degree in Life Sciences and Philosophy at University College Utrecht (Netherlands). During his studies, he worked for several digital marketing companies. He attended the United World College of the Atlantic (UWC) in Wales, UK.

Publications

  1. Engelmann, S., Chen, M., Dang, L., & Grossklags, J. (2021) Blacklists and Redlists in the Chinese Social Credit System: Diversity, Flexibility, and Comprehensiveness. Proceedings of 4th AAAI/ACM Conference on AI, Ethics, and Society (AIES), pp. 78–88. Acceptance rate (full paper; oral presentation) = 9.6%. Author Version Publisher Version (Open Access)
  2. Engelmann, S., Grossklags, J., & Herzog, L. (2020) Should users participate in governing social media? Philosophical and technical considerations of democratic social media. First Monday, 25(12). Open Access
  3. Engelmann, S., & Grossklags, J. (2019) Setting the Stage: Towards Principles for Reasonable Image Inferences. Workshop on Fairness in User Modeling, Adaptation and Personalization (FairUMAP), 27th Conference on User Modeling, Adaptation and Personalization (UMAP). Author Version Free Access (ACM Authorizer)
  4. Engelmann, S., Chen, M., Fischer, F., & Kao, C. & Grossklags, J. (2019) Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines “Good” and “Bad” Behavior. Proceedings of the 2nd ACM Conference on Fairness, Accountability, and Transparency (FAT*), Atlanta, Georgia, January 2019. Acceptance rate = 24.1%. Author Version Free Access (ACM Authorizer)
  5. Engelmann, S., Grossklags, J., & Papakyriakopoulos, O. (2018) A Democracy called Facebook? Participation as a Privacy Strategy on Social Media. Proceedings of the Annual Privacy Forum 2018. Lecture Notes in Computer Sciences (Springer). Full paper. Author Version Publisher Version

 

Conference Talks & Panels

2021

  • Talk On the Epistemic Soundness of AI Personality Inferences based on Visual Data at CEPE/International Association of Computing and Philosophy, Joint Conference 2021: The Philosophy and Ethics of Artificial Intelligence.
  • Talk on Blacklists and Redlists in the Chinese Social Credit System: Diversity, Flexibility, and Comprehensiveness at the 4th AAAI/ACM Conference on AI, Ethics, and Society (AIES).
  • Talk on What people think AI should infer from faces at the Ethics and Technology Lecture Series of the Munich Center for Technology in Society, Munich.

2020

2019

  • Talk on Ethical Implications of Image-based User Modeling at FairUMAP, UMAP 2019, Larnaca, (Cyprus).
  • Talk on Reasonable Image Inferences at Metaethics of AI & Self-learning Robots (Workshop), Venice International University & Ludwig Maximilian University of Munich, Venice (Italy).
  • Talk on Clear Sanctions, Vague Rewards: How the Chinese Social Credit System Currently Defines "Good" and "Bad" Behavior at ACM Conference on Fairness, Accountability, and Transparency (FAT*), Atlanta.

2018

Media

"What would it take to turn Facebook into a democracy?". Blog entry for blog Justice Everywhere together with Prof. Lisa Herzog. (March 4, 2019)

"China's Social Credit System won't tell you what's right". TechCrunch reports on our paper "Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines "Good" and "Bad" Behavior. (January 28, 2019)

Awards

Weizenbaum Student Prize 2018 (October 2018). Awarded for his Master Thesis on Facebook's capacity to generate data narratives. 

 

Teaching

Seminars

  • The Value of Privacy
  • Trust in Automated Decision-Making
  • Transparency of Algorithmic Systems

Lecture

  • IT and Society

 

Contact

Email: severin.engelmann@tum.de

Phone: +49 (89) 289 - 17746

Twitter: https://twitter.com/SeverinEngelma1