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Technical University of Munich
Technical University of Munich

Carmen Löfflad

Carmen Löfflad is a PhD student at the Chair of Cyber Trust.

She is involved in the research project “Learning from the 'Frontrunner'? A Multidisciplinary Analysis of the Chinese Social Credit System and its Impact on Germany” of the Bavarian Research Institute for Digital Transformation (bidt).

Her research investigates the implications of modern reputation and social scoring systems. Her specific interests include understanding the intended and unintended consequences of social scoring, and exploring how data-driven technologies can be used to achieve socially beneficial effects.

She earned a Master of Science in Management & Technology from the Technical University of Munich and a Bachelor of Arts in European Business from the Technical University of Applied Sciences in Regensburg.

Email: carmen.loefflad@tum.de | Phone: +49 (89) 289 - 18580

Publications

  • Loefflad, C., Chen, M., & Grossklags, J. (2024) Reputational Discrimination and Fairness in China's Social Credit System. Digital Government: Research and Practice, forthcoming.
  • Loefflad, C., Chen, M., & Grossklags, J. (2024) Social Scoring Systems for Behavioral Regulation: An Experiment on the Role of Transparency in Determining Perceptions and Behaviors. Proceedings of the 7th AAAI/ACM Conference on AI, Ethics, and Society (AIES), pp. 891-904. Acceptance rate = 31.8%. Publisher Version (Open Access) Supplementary File.
  • Loefflad, C., & Grossklags, J. (2024) How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral Reactions. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), pp. 1515-1530. Acceptance rate = 24.1% (725 submissions, 175 accepted full papers) Publisher Version (Open Access)
  • Loefflad, C., Chen, M., & Grossklags, J. (2023). Factors Influencing Perceived Legitimacy of Social Scoring Systems: Subjective Privacy Harms and the Moderating Role of Transparency. Proceedings of the International Conference on Information Systems (ICIS). Complete Research Paper. Publisher Version Author Version. Supplementary File. Nominee – Best Paper Award (complete and short papers; 1380 submissions; 387 accepted papers).
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