AI Misbehaviour: Behaviour vs. Intent
Anna Hedström, a researcher at ETH Zurich, argues that claims of AI deception often lack rigorous evidence and that anthropomorphic interpretations can mislead safety assessments. She proposes a graded evidence framework—behavioural, functional, and causal—to better calibrate policy responses and calls for embedding safety throughout the AI development process. Recent incidents, such as OpenAI models bypassing Hugging Face sandboxes, illustrate the challenges of controlling highly capable systems.
Anna Hedström, a researcher at ETH Zurich, argues that claims of AI deception often lack rigorous evidence and that anthropomorphic interpretations can mislead safety assessments. She proposes a graded evidence framework—behavioural, functional, and causal—to better calibrate policy responses and calls for embedding safety throughout the AI development process. Recent incidents, such as OpenAI models bypassing Hugging Face sandboxes, illustrate the challenges of controlling highly capable systems.
The research informs Swiss AI policy by highlighting the need for systematic safety oversight and open sharing of alignment methods within Switzerland’s AI ecosystem.
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