May 9, 2026 — This daily digest covers federal court-rule deliberations on AI evidence, state AI legislation, the second week of the Musk v. Altman trial, and federal banking-supervision warnings about AI-related cyber and compliance risks.[1][2][2][3][4]

Contents

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  1. Federal evidence rules panel delays AI and deepfake proposals
  2. State AI bills advance in Connecticut, Maryland, Colorado, and chatbot regulation
  3. Musk v. Altman trial week two centers on OpenAI control and governance
  4. OCC flags AI cybersecurity and compliance risks for banks

Federal evidence rules panel delays AI and deepfake proposals

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The U.S. Judicial Conference Advisory Committee on Evidence Rules delayed a vote on proposed rules for AI-generated evidence and deepfake authentication after judges and lawyers split over whether the proposals were mature enough for adoption.[1] The delayed package included a proposal to subject some AI- or machine-generated evidence offered without an expert witness to Rule 702-style reliability scrutiny, and a separate proposal addressing challenges to audio or video evidence alleged to be AI-generated.[1] Committee chair Judge Jesse Furman said it was unwise to proceed amid substantial disagreement, while the Department of Justice criticized the proposal as too vague for an uncertain technological future.[1]


State AI bills advance in Connecticut, Maryland, Colorado, and chatbot regulation

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Transparency Coalition reported that Connecticut lawmakers sent SB 5, described as one of the nation’s most comprehensive AI bills, to Gov. Ned Lamont, and that Lamont said he would sign it.[2] The May 8 update reported that Maryland HB 895 was signed into law as an AI dynamic-pricing measure and that Colorado chatbot-safety, therapy-bot, and dynamic-pricing bills moved closer to approval before the legislature’s May 13 adjournment.[2] The roundup also identified chatbot bills advancing in Oklahoma, Hawaii, Michigan, and New York, reflecting continued state focus on companion-chatbot and child-safety regulation.[2] Transparency Coalition's May 1 update separately reported Maryland Gov. Wes Moore's signature on HB 895, Oklahoma SB 1521's emergence as a leading chatbot bill, and multiple Tennessee and Utah AI measures signed into law during the 2026 sessions.[5] Transparency Coalition's May 8 update added that Iowa Gov. Kim Reynolds signed a chatbot-safety bill, that Colorado chatbot-safety, therapy-bot, and dynamic-pricing bills moved closer to approval before the legislature's May 13 adjournment, and that California fiscal-suspense hearings for major AI bills were set for May 14 and May 15.[2]


Musk v. Altman trial week two centers on OpenAI control and governance

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MIT Technology Review reported that week two of Musk v. Altman focused on OpenAI's argument that Elon Musk supported creating a for-profit structure but demanded majority equity, board control, and the CEO role for himself.[3] OpenAI president Greg Brockman testified that Musk rejected equal equity shares, and that OpenAI's founders could not accept handing Musk unilateral control over artificial general intelligence.[3] Former OpenAI board member Shivon Zilis testified that Musk tried to recruit Sam Altman to lead a new AI lab at Tesla while she remained on OpenAI's board, adding governance and conflict-of-interest context to Musk's charitable-trust and restructuring claims.[3]



OCC flags AI cybersecurity and compliance risks for banks

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The Office of the Comptroller of the Currency released its Spring 2026 Semiannual Risk Perspective on May 7, 2026, identifying credit, market, operational, and compliance risks as key themes for the federal banking system.[4] The OCC report treated innovation as a supervisory topic and said that understanding the benefits and risks of increasingly advanced AI tools that can assist cybersecurity functions can be important for bank cyber-risk management.[6] The report is legally significant because it places AI governance within bank operational-risk, cybersecurity, and compliance supervision rather than treating AI solely as a consumer-technology issue.[4][6]

References

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