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Proceedings of the National Academy of Sciences of the United States of America|June 4, 2024
Deception abilities emerged in large language modelsThilo HagendorffMinds and Machines|October 4, 2021
Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine LearningThilo HagendorffScientific Reports|August 26, 2025
Investigating toxicity and Bias in stable diffusion text-to-image modelsMatthias Schneider, Thilo HagendorffNature Communications|February 5, 2026
Large reasoning models are autonomous jailbreak agentsThilo Hagendorff, Erik Derner, Nuria OliverNature Computational Science|January 4, 2024
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPTThilo Hagendorff, Sarah Fabi, Michal KosinskiNature Communications|May 9, 2026
Large language models exhibit speciesist bias against animalsMonika Jotautaitė, Lucius Caviola, David A Brewster, et al.Journal of European CME|November 22, 2021
Triage 4.0: On Death Algorithms and Technological Selection. Is Today's Data- Driven Medical System Still Compatible with the Constitution?Dirk Helbing, Thomas Beschorner, Bruno Frey, et al.PLOS Digital Health|February 22, 2023
To explain or not to explain?-Artificial intelligence explainability in clinical decision support systemsJulia Amann, Dennis Vetter, Stig Nikolaj Blomberg, et al.Pageof 1