Calif. Leads the Way in Consumer-Facing AI Regulation with Automated Decisionmaking Technology Rules

As an important development in U.S. AI regulation, California enacted its automated decisionmaking technology (ADMT) rules in September 2025. These are the first enacted, broadly scoped, consumer-facing AI governance rules in the country. They offer opt-out rights and logic disclosures for AI-driven significant decisions affecting consumers. The rules took effect on October 1, 2025, with compliance required by January 1, 2027, for covered businesses that use ADMT in significant decisions before that date. Read the full Alert on the Duane Morris website.

Adopting Generative AI in Medtech

Given the vast amounts of data available, including raw measurements, diagnostic information, treatment plans, and regulatory guidelines, the biomedical technologies sector stands to gain immensely from artificial intelligence (AI), particularly machine learning (ML).

ML, at its core, learns from training datasets to identify patterns, which can then be applied to new input data to make direct inferences. For instance, if specific body scans frequently result in a particular diagnosis, ML can be used to quickly provide that diagnosis when similar scans are encountered, thus aiding in disease diagnosis.

Read the full article by Duane Morris partner Agatha H. Liu, PhD on the MD+DI website

The AI Update | April 23, 2024

#HelloWorld. In this issue, we zoom in on the world of AI model training, looking at both dataset transparency and valuation news. Then we zoom out, highlighting Stanford’s helpful summary of 2023 AI regulations and hot-off-the-press ethical guidance on AI use for lawyers from the New York State Bar. It may be a grab bag, but it’s one worth grabbing. Let’s stay smart together. (Subscribe to the mailing list to receive future issues.)

Continue reading “The AI Update | April 23, 2024”

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The opinions expressed on this blog are those of the author and are not to be construed as legal advice.

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