Whistleblower protection comprises legal and procedural safeguards that shield individuals who report wrongdoing, safety risks, or legal violations from retaliation such as dismissal, demotion, or harassment. In the AI-governance context, it empowers employees of AI developers to disclose information about unmitigated risks from frontier models to regulators or the public. Such provisions appear in legislation like California’s frontier-AI safety bills, creating accountability channels beyond internal controls.

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  • In frontier-AI statutes, these provisions typically prohibit enforcing contractual clauses that would prevent employees from disclosing risk information to authorities, require internal anonymous reporting channels, and grant remedies for retaliation. The aim is to surface safety concerns that internal incentives might otherwise suppress, complementing mandatory disclosure and audit requirements.