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The White House's National AI Legislative Framework serves as a principles-based policy roadmap for Congress, advocating for federal preemption and selective state carve-outs without establishing a new AI super-regulator. Amid significant political momentum for federal AI legislation, the framework emphasizes protecting children, respecting intellectual property rights, and fostering innovation while navigating challenges posed by state laws.

The U.S. General Services Administration (GSA) has postponed the rollout of proposed terms and conditions for AI procurement to allow more time for industry feedback, extending the comment period to April 3, 2026. The proposed AI Clause includes significant provisions regarding intellectual property rights, data handling, and requirements for "American AI Systems."

On March 20, 2026, the White House revealed its National Policy Framework for Artificial Intelligence, outlining legislative recommendations and urging Congress to create a unified federal standard. The framework focuses on seven core pillars, including protecting children, safeguarding communities, and promoting AI innovation, while acknowledging gaps in regulatory enforcement and data privacy.

Colorado's SB 24-205, effective June 30, 2026, mandates that businesses assess their AI use in high-risk areas like hiring and lending, requiring robust risk management programs and human review processes. Companies must begin inventorying their AI systems now to ensure compliance and avoid algorithmic discrimination, as failure to do so could lead to significant operational challenges.

The Trump administration's AI National Policy Framework aims to establish a national standard for AI development while preempting state laws, yet it does not eliminate accountability for AI systems. Organizations must ensure they have robust documentation and evidence infrastructure to navigate potential enforcement risks effectively.

The Sixth Circuit Court of Appeals has imposed over $100,000 in sanctions on two lawyers for citing fictional cases in their appellate briefs, violating both Federal Rule of Appellate Procedure 38 and the Court's inherent authority. This ruling highlights the dangers of relying on AI-generated content that may lead to "hallucinations," ultimately resulting in a total sanction of $116,315.09 for the two lawyers.

The EU AI Act establishes a comprehensive legal framework for artificial intelligence, imposing enforceable oversight requirements on organizations that develop or deploy AI systems within the EU. Compliance necessitates organizations to inventory AI systems, classify risk levels, and implement governance processes to ensure ongoing adherence to the regulation.

Federal MPs are working to address the regulation of artificial intelligence, focusing on its implications for jobs, cybersecurity, and data sovereignty. Experts emphasize the need for better public consultation and express concern over the growing trust gap regarding AI technology.

AI adoption in large organizations has outpaced the establishment of governance frameworks, resulting in 65% of AI programs failing to scale beyond pilots. To address this, companies need a centralized inventory of AI systems for effective governance and risk management, ensuring accountability and oversight throughout the AI lifecycle.

South Korea's new AI Basic Act, effective January 2026, aims to regulate high-impact AI systems while promoting technology development and safety for users. It introduces a unique framework that encourages voluntary measures for AI safety, contrasting with the more stringent regulations found in the EU AI Act.

This paper discusses the importance of risk management in AI governance, highlighting the need for frameworks that focus on preventing harms rather than merely reducing hazards. It advocates for a sociotechnical approach to risk assessment, emphasizing the integration of various expertise and interventions to effectively mitigate AI-related risks.

Biopharma Institute, in collaboration with RiskCortex, has launched the AI Regulatory Compliance: Expert-in-the-Loop Certification Program, designed to empower professionals in the life sciences sector to effectively oversee AI use while ensuring compliance and regulatory integrity. This industry-first certification addresses the urgent need for skilled oversight as organizations increasingly adopt AI technologies in highly regulated environments.

Western Visayas has launched an action plan and ethics policy for artificial intelligence (AI) aimed at promoting inclusive adoption and exploring sector-specific applications in education, health, and energy. The initiative reflects a commitment to responsible AI use and regional development, as emphasized by local leaders during the recent turnover ceremony in Boracay Island.

A new proposal from Colorado's Governor aims to replace the existing AI Act, shifting the focus from regulating high-risk AI systems to enhancing consumer rights and transparency. This framework would reduce compliance burdens for AI developers and deployers while raising questions about the enforcement of existing discrimination and consumer protection laws.

During a seminar, Mayukh Sircar discussed the strategic role of Artificial Intelligence (AI) in businesses, highlighting essential governance processes and risk management. He emphasized the importance of thorough vendor evaluations and the need for transparency in AI agreements to mitigate potential liabilities.

The escalating conflict between Anthropic and the Pentagon raises significant concerns about AI safety and First Amendment rights, as it questions whether the government can penalize companies for ethical noncompliance. This case not only impacts investor confidence in the AI industry but also challenges the legal status of AI as a form of protected speech.

On March 17, 2026, the Colorado AI Policy Work Group proposed a new legal framework to replace the Colorado AI Act, focusing on transparency, recordkeeping, and consumer rights. If enacted, the Proposed ADMT Framework will take effect on January 1, 2027, requiring developers and deployers to adapt their compliance programs by the end of 2026.

Japan's recent enactment of the AI Promotion Act establishes a layered governance framework designed to support AI development while ensuring compliance with existing laws. This approach balances flexibility and investment attraction with the ability to impose regulations as necessary, addressing key concerns like data protection and competition enforcement.

Sorena AI is enhancing its position in the governance, risk, and compliance (GRC) market with a proof-first AI-powered compliance platform that emphasizes execution over mere task tracking. The platform aims to provide compliance teams with verified, source-linked outputs and audit-ready reports, addressing the inefficiencies of traditional GRC systems.

The Ministry of SMEs and Startups and the Ministry of Science and ICT will conduct additional briefings to assist small and venture businesses in navigating the "Artificial Intelligence (AI) Basic Act." These briefings aim to enhance public communication and provide 1:1 consultations on laws and support programs to spur innovation in the AI sector.

In 2026, the gap between using AI and governing it is becoming increasingly costly for businesses, as legal and regulatory frameworks are rapidly evolving. With the EU AI Act now enforceable, companies must prioritize AI governance to avoid significant penalties and ensure compliance across various jurisdictions.

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.

Oregon lawmakers have advanced Senate Bill 1546, which would impose safety, disclosure, and liability requirements on AI chatbot providers. If signed by the governor, the law will create legal exposure for chatbot interactions and require operators to disclose AI use while implementing safety protocols and intervention measures for high-risk scenarios.

The UK Government recently published a report assessing the relationship between copyright and AI, emphasizing the need for further evidence before making any legislative changes. While the report highlights the importance of transparency and potential licensing models, it does not propose immediate reforms to existing copyright laws.