Annex
California CCPA Automated Decision-Making Technology (ADMT) Regulatory Requirements
This annex documents California's AI-specific regulatory limb for the AI-domain reader: the California Privacy Protection Agency's CCPA regulations on Automated Decisionmaking Technology (ADMT), which bind a business that uses ADMT to make a significant decision concerning a consumer. It is the ai/jurisdictions/ view of that limb, parallel to the Colorado and New York City AI annexes, and it adds the framework-alignment crosswalk (NIST AI RMF 1.0, ISO/IEC 42001:2023) for AI-governance adopters. This annex is the single canonical home for the CCPA ADMT limb: privacy/jurisdictions/annex-privacy-united-states.md touches ADMT only in a brief privacy-context summary that points here, and it retains the CCPA risk-assessment and cybersecurity-audit slices as its own privacy-domain obligations; on the shared ADMT obligation detail the enacted regulation governs.
- Type
- Annex
- Version
- 0.0.6
- Date
- 2026-10-27
- Owner
- Chief Information Security Officer
- Approving authority
- Governance Library Maintainer
- Classification
- Public
- Confidentiality
- Public
- Category
- AI Governance
- Review frequency
- Annual and upon material change to the CCPA ADMT regulations or their compliance dates
- Licence
- CC BY-SA 4.0
Read the full text on GitHub (opens in a new tab)
Outline
- Purpose
- Applicable law and regulatory authority
- Transition timeline
- Scope: covered actors and covered decisions
- Core obligations
- Consumer rights
- Enforcement
- Relationship to the California privacy layer
- Limitations
- Framework alignment
Frameworks it maps to
Related documents
- AI Compliance Policyai
- Colorado AI and Automated Decision-Making Technology Regulatory Requirementsai
- New York City Automated Employment Decision Tool Regulatory Requirementsai
- United States Privacy Regulatory Requirementsprivacy
- Canonical Citations Registergovernance
- Global Regulatory Applicability Registercompliance
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