The rapid integration of advanced artificial intelligence in local government operations presents significant governance challenges. Effective AI adoption depends on institutional design emphasizing accountability, transparency, and performance management to enhance public value while maintaining trust.
The NEA’s second AIxpertise workshop brought together 67 representatives from 45 organizations to finalize the program of work and governance for AI applications in the nuclear sector. The event highlighted collaboration and best practices to ensure the safe use of AI in nuclear research, education, and regulation.
Singapore has introduced the world’s first Model AI Governance Framework for Agentic AI, guiding enterprises in the responsible use of autonomous AI agents. Announced by Minister Josephine Teo at the World Economic Forum, the framework emphasizes human oversight, accountability, and user transparency while fostering innovation.
Utah lawmakers are proposing legislation to enhance child safety in AI technologies, requiring transparency and protective measures from AI companies to prevent harmful interactions with minors.
As businesses prepare for an agentic workforce in 2026, they must treat AI agents as formal digital identities to address security and governance risks. Despite 91% of organizations already using AI agents, only 10% have an effective governance strategy in place.
The U.S. Department of Justice has launched an Artificial Intelligence Litigation Task Force to challenge state-level AI regulations, aiming to create a cohesive national policy framework amid increasing state legislation on AI accountability and safety.
Workers are increasingly challenging AI-based hiring practices with a class action lawsuit in California alleging that hidden AI tools unfairly profile job applicants. The lawsuit targets Eightfold AI, claiming violations of fair credit reporting laws and calling for transparency and accountability in AI hiring.
South Korea has become the first country to pass a comprehensive law on the safe use of artificial intelligence, called the AI Basic Act. This law establishes a regulatory framework to combat disinformation and mandates companies to take responsibility for high-risk AI technologies.
The Precisely 2026 State of Data Integrity and AI Readiness report highlights ongoing concerns over data integrity and a significant gap between perceived AI readiness and actual organizational capabilities. Despite high confidence in infrastructure and skills, many organizations face obstacles that hinder successful AI deployment, emphasizing the need for strong data governance and quality foundations.
South Korea’s Artificial Intelligence Act came into effect on January 22, 2026, aiming to regulate the development and deployment of AI technologies with a focus on safety, transparency, and accountability.