Decoding California’s ADMT Regulations: A Guide to Automated Decision-Making Compliance

California’s newly adopted regulations governing Automated Decision-Making Technology (ADMT) represent one of the most significant developments in AI governance and consumer privacy protection in the United States. Set to take effect on January 1, 2027, these regulations under the California Consumer Privacy Act (CCPA) will fundamentally reshape how businesses design, deploy, and manage automated systems that process consumer data.

This continuing legal education (CLE) class examines the legal complexities of the California Privacy Protection Agency’s (CPPA) Automated Decision-Making Technology (ADMT) rulemaking package. Given California’s status as a national leader in data privacy and the ongoing absence of comprehensive federal privacy legislation, these rules are poised to shape regulatory standards across the country and establish benchmarks for other states developing similar frameworks.

Who Should Attend: in-house counsel, privacy officers, compliance professionals, technology executives, and legal practitioners who advise businesses on AI governance, data privacy, or technology transactions.

Learning Objectives:

Participants will leave with:

• Insights into how California’s approach may influence broader AI governance trends.
• Clear understanding of what systems qualify as ADMT under California regulations.
• Practical frameworks for assessing existing technologies against ADMT definitions.
• Actionable compliance roadmaps aligned with phased implementation deadlines.

Speakers: Charlyn Ho, Founder and Managing Member at Rikka; Thomas Woodward, Associate Attorney at Rikka; Aidan McNair, Co-Founder and CEO of Torva AI

Hosted by: Washington University School of Law — AI Collaborative “AI Policy Series”

Eligible for FREE CLE in Missouri, courtesy of WashU Law.

Not eligible for CLE in other jurisdictions, but all are welcome to attend free for non-CLE credit.

Register here.