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AI safety research faces barriers to human-centered studies

A new paper on arXiv explores the challenges and value of human-centered research in AI safety and ethics. Despite a consensus on its importance, empirical studies involving human subjects face barriers related to perceived validity, resource limitations, and disciplinary preferences. Technical researchers, in particular, show a lower valuation of human research and less cross-disciplinary collaboration, indicating an epistemic tension. The paper proposes recommendations to improve the integration and acceptance of human research within the AI safety and ethics field. AI

IMPACT Highlights the need for more human-centered research in AI safety, potentially influencing future research methodologies and resource allocation.

RANK_REASON The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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AI safety research faces barriers to human-centered studies

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jessica Y. Bo, Paula Akemi Aoyagui, Shalaleh Rismani, Dipto Das, Syed Ishtiaque Ahmed, Ashton Anderson ·

    Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics

    arXiv:2608.05656v1 Announce Type: cross Abstract: 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 sidel…