AI labs push for third-party safety audits while basic network security lags, experts say
After a researcher's resignation over AI extinction fears, Anthropic CEO Dario Amodei called for external organizations to verify AI labs' safety practices and audit training pipelines, a proposal quickly backed by OpenAI, Google and others. Security experts counter that labs should first tighten fundamental internet security measures—access logs, permissions, and control systems—rather than relying on outside auditors as the primary fix.
GoKawiil's interpretation of the reporting above, not reported fact.
The debate echoes Microsoft's 2002 Trustworthy Computing shift, suggesting AI companies may be reaching for elaborate external solutions while neglecting cheaper, proven internal controls. If basic security gaps persist, third-party audits could become a distraction that gives false assurance without addressing how AI systems are actually accessed and misused day to day.
- Amodei's call for outside AI safety auditors has been embraced by OpenAI, Google and other major labs.
- Security specialists argue labs are outsourcing responsibility instead of fixing basic access controls and logging.
- Researchers say investing in AI 'control' techniques may be more immediately effective than broader alignment work.
Source: techcrunch.com — Tim Fernholz, 2026-09-16
Published there as: “AI labs want in-house auditors — but maybe they should shut the front door first”
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