AI global governance is the system of rules and collaborations that countries and organizations are developing to manage artificial intelligence across borders, aiming to ensure its safety, fairness, and utility for all. The urgency for international cooperation arises from shared risks such as misinformation and economic disruption that transcend national boundaries.
The UN has initiated a global dialogue on AI governance, creating an inclusive space for governments and stakeholders to address pressing AI challenges. As part of this effort, the Independent International Scientific Panel on AI has been established to assess the transformative impact of AI on society, with a call for nominations open until October 31, 2025.
At the recent ICSAN conference in Lagos, AI governance expert Olajide Olugbade emphasized the importance of establishing effective governance systems for AI adoption to avoid “ethics washing.” He warned that many organizations create ethics offices that serve merely symbolic purposes, lacking the necessary authority to enforce responsible innovation.
On September 29, 2025, California Governor Gavin Newsom signed the Transparency in Frontier Artificial Intelligence Act (SB 53), establishing requirements for safety disclosures from developers of advanced AI models. This law aims to enhance transparency and accountability, particularly for models that pose catastrophic risks, with most provisions taking effect on January 1, 2026.
The integration of GenAI into daily workflows poses significant challenges for Chief Human Resources Officers (CHROs) regarding policy and compliance, with over one-third of Australian professionals uploading sensitive company data into unauthorized AI platforms. This surge in “shadow AI” not only risks data leakage but also exposes organizations to serious regulatory compliance issues, highlighting the urgent need for robust AI governance.
California’s AI Transparency Act (CAITA), initially set to take effect on January 1, 2026, may be amended to include regulations for large online platforms and capture device manufacturers. The proposed amendment, AB 853, would require these entities to maintain and disclose provenance data, enhancing transparency for users while imposing potential operational costs.
California has become the first US state to enact a dedicated AI safety law, the Transparency in Frontier Artificial Intelligence Act, requiring major companies to report high-risk incidents and disclose safety measures. This development contrasts with India’s voluntary approach to AI regulation, which raises concerns about accountability and safety in critical sectors.
The EY survey reveals that companies advancing responsible AI governance are achieving better business outcomes, including increased revenue and employee satisfaction. However, nearly all organizations face financial losses from compliance failures and biased outputs, highlighting the need for improved governance and preparation in AI adoption.
Responsible AI can transform how organizations leverage artificial intelligence, leading to greater profits, enhanced employee satisfaction, and reduced costly mistakes. Companies that implement strong governance and clear principles in their AI strategies are more likely to see significant improvements in revenue growth and overall performance.
California’s recently signed artificial intelligence law by Governor Gavin Newsom aims to set a precedent for AI regulation among Democrats nationwide, mandating AI labs to disclose safety protocols and report any catastrophic risks. This legislation not only bolsters Newsom’s credentials as he considers a presidential run in 2028 but also garners support from both AI advocates and segments of the tech industry.