AI Governance

AI governance focuses on the rules and accountability frameworks governing artificial intelligence from development and deployment through use, including ethics, cybersecurity, privacy, model trust and human oversight. Recent concerns range from governance mechanisms lagging corporate adoption of AI and AI agents to child protection, age verification, local anti-fraud efforts, sovereign AI and the limits of AI involvement in life-or-death decisions. Some advocates have also proposed using social platforms as spaces for global collaboration. As AI becomes more deeply embedded in business operations and public services, whether governance keeps pace with adoption will directly affect risk controls, digital trust and accountability.