The Texas Responsible Artificial Intelligence Governance Act (TRAIGA), now SB 149, establishes a framework for regulating AI systems in government agencies, promoting ethical use while addressing civil liberties and privacy concerns, amidst bipartisan support and ongoing debates about potential overreach and transparency.
View full story…

Utah has implemented stringent laws governing the use of generative AI in mental health services, including requirements for transparency, user consent, and compliance with HIPAA, positioning itself as a leader in AI regulation.
View full story…

The OECD has introduced an AI Governance Framework comprising 11 guiding principles to ensure ethical development and deployment of AI technologies, emphasizing data governance, privacy, and international collaboration among stakeholders to align AI with human rights and democratic values.
View full story…

Effective May 1, 2025, healthcare providers must implement measures to identify and mitigate discrimination risks associated with AI technologies in patient care, focusing on sensitive input variables such as race, sex, and disability.
View full story…

The Asia-Pacific region is witnessing rapid changes in AI regulation, with countries like China, Japan, South Korea, Australia, and Singapore developing national frameworks to enhance technological independence and economic resilience while addressing ethical standards, compliance challenges, and the need for collaboration among nations.
View full story…

The European Data Protection Board’s 2024 annual report highlights its strategic priorities for enhancing GDPR compliance, addressing emerging challenges in data protection, and fostering international cooperation amidst evolving digital landscapes.
View full story…

The federal government has implemented comprehensive policies for the use and procurement of AI systems, emphasizing compliance, innovation, and national security, while requiring contractors to navigate complex intellectual property and data management requirements.
View full story…

The Organization for Economic Co-operation and Development (OECD) has developed a framework emphasizing ethical principles for AI governance, focusing on transparency, accountability, and inclusivity to ensure responsible development and deployment of AI systems across jurisdictions.
View full story…

The adoption of Generative AI in legal practice enhances efficiency and accuracy while necessitating lawyers’ oversight to uphold ethical standards and navigate regulatory challenges.
View full story…

The European Data Protection Supervisor (EDPS) and the European Data Protection Board (EDPB) have launched initiatives to enhance the governance and risk management of AI systems in the EU, ensuring compliance with data protection laws and addressing challenges related to AI technologies and privacy rights.
View full story…

The OECD has introduced a detailed governance framework for AI, emphasizing ethical principles, accountability, and collaboration among stakeholders to address risks and opportunities associated with AI technologies, particularly in light of emerging regulations like the EU AI Act.
View full story…

AI systems are revolutionizing data management but pose significant risks related to flawed training data, privacy violations, and regulatory compliance, necessitating robust governance and adherence to frameworks like the GDPR and EU AI Act.
View full story…

California’s new Artificial Intelligence Transparency Act (CAITA), effective January 1, 2026, mandates transparency and compliance measures for generative AI providers with over one million monthly users, imposing significant penalties for noncompliance.
View full story…