The U.S. government is advocating for the global adoption of its artificial intelligence cybersecurity standards through diplomatic efforts. This is part of a broader national cybersecurity strategy emphasizing rapid deployment of AI-enabled tools to enhance security against cyber threats.
Generative AI is increasingly assisting clinicians in various healthcare tasks, but its regulatory approval lags due to the complexity of these technologies. Eric Bressman and colleagues propose a federal licensing framework for AI systems, analogous to that for human clinicians, to ensure accountability and ongoing oversight.
The rapid growth of Artificial Intelligence has outpaced regulation, prompting discussions about whether Australia should adopt similar laws to South Korea. Experts underscore the need to balance innovation with safeguards to address public concerns about AI’s societal impact.
The Department of Homeland Security is expanding its artificial intelligence efforts, with over 200 use cases driven by Immigration and Customs Enforcement. New AI tools include biometric identity verification and resume screening, raising concerns about civil liberties and regulatory oversight.
ThetaRay has introduced Ray, an AI-powered investigation suite designed for anti-money laundering. It automates evidence collection and analysis, enhancing consistency and traceability, and reduces manual investigation time by up to 70%.
Gartner predicts that by 2028, half of organizations will adopt a zero-trust approach to data governance to address the rising volume of unverified AI-generated data, reshaping enterprise management of data reliability and compliance risks.
The European Union’s AI Act, effective from August 2024, introduces a risk-based regulatory framework requiring traceability, human oversight, and accountability for AI technologies. This revolutionizes due diligence in mergers and acquisitions, making AI compliance a competitive business advantage.
AI stocks have thrived recently, but new regulations in 2026, especially from California, require greater transparency and safety measures from AI developers. These changes will give investors crucial insights into the risks associated with AI investments.
Shawn Tuma co-led a session at the TexasBarCLE’s 19th annual Advanced Real Estate Strategies Course, focusing on the ethical incorporation of AI in legal practice. The session will be available as a webcast replay on February 3-4, 2026.
U.S. states are increasingly taking the lead in AI governance, stepping in where federal legislation has lagged. This state-level response reflects a growing recognition of the need to balance AI’s benefits with potential societal harms.