The UK Competition and Markets Authority (CMA) has raised concerns about the antitrust risks associated with AI-driven algorithmic pricing tools, which may facilitate collusion among competitors. As these algorithms become increasingly sophisticated, the CMA emphasizes the need for businesses to adopt safeguards to mitigate compliance risks.
Florida lawmakers failed to pass the A.I. Bill of Rights, which aimed to regulate artificial intelligence, due to internal divisions among Republicans influenced by Trump’s pro-A.I. stance. This split reflects broader challenges within the party as it navigates the implications of A.I. technology ahead of the midterm elections.
The rise of AI-generated data subject access requests (DSARs) is reshaping the operational landscape for organizations, increasing both the volume and complexity of these requests. Understanding modern DSARs, their risks, and employing AI thoughtfully can help organizations manage compliance effectively while enhancing efficiency.
Oregon’s SB 1546 introduces significant regulations for AI-powered tools that engage in personal conversations, requiring operators to disclose AI involvement and provide crisis referrals. This groundbreaking law allows individuals to sue for $1,000 per violation, making compliance crucial for companies using such technologies.
Troutman Amin, LLP has implemented a strict zero-tolerance policy against the use of generative AI in legal work, emphasizing the potential malpractice risks associated with it. A recent court ruling indicated that sharing privileged information with AI could lead to a waiver of that privilege, raising significant concerns for law firms utilizing such technology.
Traefik Labs has announced new capabilities for Traefik Hub’s Triple Gate architecture, enhancing runtime governance across AI workflows with a composable safety pipeline, multi-provider resilience, and token-level cost controls. These advancements aim to address the fragmented governance challenges faced by enterprises adopting autonomous agents.
The recent rulings in Heppner and Warner highlight the complexities of AI use in legal contexts, particularly regarding privilege and work product protections. While Heppner demonstrates that using public AI tools without lawyer involvement may not satisfy the requirements for attorney-client privilege, Warner illustrates that AI-generated materials can still qualify for protection when created in anticipation of litigation.
Connecticut Attorney General William Tong released a memorandum on February 25 detailing how existing laws apply to AI systems in areas such as tenant screening and employment decisions. The memorandum emphasizes the application of anti-discrimination laws and consumer protection regulations to AI-related conduct rather than creating new regulations.
Kilpatrick’s Charles Gray and Karam J. Saab recently presented on the transformative impact of generative AI in patent practice, emphasizing the importance of distinguishing between AI’s strengths and weaknesses. They highlighted the upcoming Colorado AI Act, which aims to regulate AI systems and eliminate algorithmic discrimination, taking effect on June 30, 2026.
Public Employees for Environmental Responsibility (PEER) has filed a series of Freedom of Information Act requests with the U.S. Environmental Protection Agency (EPA) to obtain records on the agency’s use of artificial intelligence tools. The requests aim to clarify how AI is being deployed in employee communications and chemical safety evaluations.
