Researchagentic systemssafety evaluationsoftware engineering
MIT Study Finds Agentic AI Safety Gaps
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8.3
MIT-led researchers analyze 67 deployed agentic AI systems and find widespread gaps in safety disclosure. Around 70% provide documentation and nearly half publish code, but only about 19% disclose formal safety policies and fewer than 10% report external safety evaluations. The authors warn that as agents gain autonomy and handle emails, files and transactions, public transparency about testing and guardrails has not kept pace.
Scoring Rationale
Strong empirical evidence of industry-wide transparency gaps, but study is observational and lacks prescriptive remediation steps.
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