Sector-Specific & Emerging
Operational controls for sector-specific & emerging — with maturity levels, evidence requirements, and implementation guidance.
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Anthropomorphic and Companion AI Safeguards
Establish design requirements and governance review processes for AI systems that simulate human personality, emotional connection, or companionship, addressing psychological influence risks, minor user protections, and disclosure obligations that apply to AI products designed for ongoing interpersonal interaction.
Self-Hosted Open-Weight AI Model Governance
Establish an intake policy and governance controls for AI model weights downloaded from public repositories and deployed in the organization's own infrastructure, addressing integrity verification, license compliance, safety evaluation before deployment, and ongoing update management distinct from vendor-hosted AI procurement.
AI-Specific External Complaints and Redress Mechanism
Design and operate a formal mechanism for external parties — customers, employees, subjects of AI decisions, and members of the public — to submit complaints about AI system outputs or decisions, receive timely responses, access human review of AI-assisted decisions upon request, and obtain meaningful redress where the AI decision was incorrect or unfair.
AI System Algorithm Register
Design and maintain a standardized register of deployed AI systems — public-facing or internal — that documents each system's purpose, decision scope, risk classification, data inputs, and accountability contacts, meeting emerging algorithmic accountability requirements from the EU AI Act, New York Local Law 144, Amsterdam-model algorithm registers, and equivalent frameworks.