Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI
Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI poses in high-stakes settings. Yet this work has not produced a market that rewards trustworthiness. Firms that invest seriously in safety, fairness, and oversight cannot consistently prove to consumers, regulators, and shareholders that their systems go beyond the bare minimum of compliance. What is missing is a way for society to recognize or compare the difference
Record details
Published: 17 July 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation
Retrieved: 20 July 2026
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ethics.ai (17 July 2026), “Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI,” evidence record 11761, https://ethics.ai/record/11761 (originally published by arXiv).
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