1.8k citations · 2.9k across the 27 of their papers we have counts for
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Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Kristof Meding, Thilo Hagendorff
Fairness in machine learning (ML) is an ever-growing field of research due to the manifold potential for harm from algorithmic discrimination. To prevent such harm, a large body of…
Deception Abilities Emerged in Large Language Models
Thilo Hagendorff
Large language models (LLMs) are currently at the forefront of intertwining artificial intelligence (AI) systems with human communication and everyday life. Thus, aligning them wit…
Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models -- and Disappeared in GPT-4
Thilo Hagendorff, Sarah Fabi
Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate…
Machine Psychology
Thilo Hagendorff, Ishita Dasgupta, Marcel Binz +5
Large language models (LLMs) show increasingly advanced emergent capabilities and are being incorporated across various societal domains. Understanding their behavior and reasoning…