In 2026, Taiwan’s AI Basic Act establishes fundamental principles to guide AI development, emphasizing sustainable growth, privacy protection, and accountability. This landmark legislation aims to foster innovation while ensuring safety and ethical standards in AI applications.
New AI regulations, particularly California’s Transparency in Frontier AI Act and Texas’s TRAIGA, are leading to significant compliance costs for businesses, affecting their profit margins. As federal strategies aim to influence state policy through funding, market volatility persists amid investor concerns about AI’s disruptive potential.
OneTrust has enhanced its governance platform with real-time monitoring and enforcement features designed to manage AI policies continuously, rather than through static compliance workflows. This update includes capabilities for AI agent detection, policy management, and guardrail enforcement to help organizations maintain oversight as AI systems evolve in production environments.
iDox.ai has launched Guardrail, an AI governance platform designed to enhance security and prevent sensitive data exposure as organizations adopt autonomous AI tools. The platform offers real-time monitoring and interception of AI communications, ensuring that sensitive information is protected before it can be accessed or shared.
As artificial intelligence (AI) rapidly integrates into clinical and administrative workflows in US hospitals, health system boards must evolve their governance to keep pace with these developments. This includes understanding the regulatory landscape, ensuring fiduciary duties are met, and maintaining transparency and accountability in AI usage.
This morning, the White House released a four-page “National Policy Framework for Artificial Intelligence,” outlining the roles of state and federal governments in AI regulation. The framework emphasizes federal preemption of state AI laws while addressing important issues such as copyright and child safety.
This article discusses the importance of AI governance for boards, emphasizing the need for rigorous AI risk assessments, audits, and assurances to ensure responsible AI practices across organizations. It highlights the emerging professional standards for AI assurance, drawing parallels to established financial auditing methods to build credibility and accountability in AI systems.
On March 20, 2026, the White House unveiled its National Policy Framework for Artificial Intelligence, outlining legislative recommendations to guide AI governance and secure U.S. leadership in the global AI landscape. The framework emphasizes child safety, intellectual property rights, and innovation while advocating for a unified federal approach to prevent state-level regulatory fragmentation.
The General Services Administration (GSA) has proposed a new AI clause, GSAR 552.239-7001, aimed at imposing specific safeguarding requirements for artificial intelligence systems in federal contracts. The deadline for comments on this proposed clause has been extended to April 3, 2026, allowing stakeholders to provide feedback on its implications and requirements.
On February 25, 2026, the European Parliament’s Committee on Legal Affairs adopted a report addressing the intersection of generative artificial intelligence and copyright law, highlighting the need for a legal framework to protect creators’ rights while promoting AI development. The report emphasizes the urgency of addressing legal uncertainties surrounding copyright use in AI training and calls for transparency measures and fair remuneration for creators.
