Solving every problem identified by every state?
https://fpf.org/blog/frontier-ai-goes-federal-how-the-great-american-ai-act-compares-to-state-laws/
Frontier AI Goes Federal: How the Great American AI Act Compares to State Laws
It has been an unusually active few weeks for AI safety policy. Following a new frontier model safety bill passed in Illinois, and a White House executive order on AI security, Rep. Jay Obernolte (R-CA) and Rep. Lori Trahan (D-MA) released a bipartisan discussion draft for the Great American AI Act of 2026, adding another major federal proposal to the rapidly developing frontier AI landscape.
The draft is broad, covering issues ranging from workforce development and AI literacy to cybersecurity and international standards. But for many AI developers and deployers, the most important provisions are those focused on frontier model regulation. The draft would create requirements related to frontier AI transparency, critical safety incident reporting, employee whistleblower protections, and independent verification organizations. It would also include a three-year preemption clause restricting state laws that specifically regulate AI model development.
This blog highlights four key takeaways of the discussion draft:
The draft is one of the first bipartisan attempts in Congress to address both frontier model safety and preemption of AI. These aspects make it a notable legislative effort, even if its prospects are uncertain.
The draft incorporates many of the frontier model safety provisions in existing state laws but also has key distinctions. Compared to recent state frontier AI laws in California, New York, and Illinois (pending signature), the bill makes some important adjustments, like adding a revenue threshold for “frontier developers,” modifying the definition of “critical safety incident,” and utilizing a different penalty structure.
The draft brings the preemption debate back into the federal AI policy conversation. It includes a three-year preemption clause focused on state laws that specifically regulate AI model development.
The draft also reaches beyond frontier model safety. Other notable provisions include a study content moderation, a federal voluntary model testing program, and disclosure requirements for AI-related mass layoffs.
Isn’t this obvious? (Unless AI is a person?)
Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers
The Regional Court of Munich hit Google with a temporary injunction barring the company from spreading false claims about two Munich-based publishers through its AI-generated search overviews (case no. 26 O 869/26). The court classified Google as a direct infringer because the "AI overview" is its own content, not just a list of search results.
Google's AI overviews had falsely tied two publishing companies to scams, subscription traps, and shady business practices for certain search queries. According to the court, the AI mixed up information about other, genuinely sketchy companies with the plaintiffs and drew connections that didn't appear in any of the linked sources. The publishers sent Google a cease-and-desist letter, but Google didn't respond appropriately.
AI overviews aren't search results
Google's AI overviews work nothing like traditional search results, the court argues. The AI rewrites and judges results "in its own words and according to its own structure," the ruling says. In the case at hand, for example, it opened with confident claims like "Yes, [company] is known for dubious business practices," then built its own structure with a summary, red flags for the alleged scam, and tips for users.
This is what the courts can expect in future.
Judge Learns Lawyers on Both Sides of Case Used AI, Cancels Trial, Kicks Everyone Off the Case
The lawyers on both sides of a federal court case in Mississippi were caught using artificial intelligence, a situation where, effectively, generative AI tools were used to argue against each other. The judge wrote in a blistering sanctions order, that the lawyers wasted the court’s time, and that “in an era of rampant unverified AI usage within the legal field, this case presents a prime example of the risk associated with serving as a rubber-stamp.”
“This case presents the Court with an unusual scenario—attorneys for both litigants engaged in similar sanctionable conduct,” Sharion Aycock, senior United States District Judge for the Northern District of Mississippi wrote in a sanctions order. “This court is yet again ‘burdened with addressing AI hallucinations court filings.’”
The case in question involved a contractual dispute between lawyer Tom Withers and the city of Aberdeen, Mississippi, over apparently unpaid legal fees (Withers was not representing himself and was not sanctioned by the court). The case was first noticed by Rob Freund, a lawyer who frequently posts about cases involving AI hallucinations. Freund called it a “comedy of AI errors,” and suggested “there were two clients who basically were paying for ChatGPT (or whatever LLM) to argue against itself.”
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