Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics
Safety risks of AI are becoming increasingly evident in human interactions with AI technologies. The prominent approaches to evaluating these risks favor technical methods, such as model benchmarks and LLM simulations, often sidelining empirical research with human subjects. To examine this apparent gap in the acceptance of human research, we conduct an expert survey (n=93) and expert interviews (n=17) with AI Safety & Ethics (AISE) researchers from Technical, Sociotechnical, Governance, and Nor
Record details
Published: 6 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Regulation · Safety & alignment
Retrieved: 11 August 2026
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ethics.ai (6 August 2026), “Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics,” evidence record 18319, https://ethics.ai/record/18319 (originally published by arXiv cs.HC).
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