Artificial Intelligence has not created a governance crisis; it has exposed one, emphasizing the need for boards to apply human judgment and empathy. As AI transforms decision-making and accountability, boards must evolve from passive observers to active stewards of governance.
Common Sense Media and OpenAI have joined forces to support the Parents & Kids Safe AI Act, aiming to enhance online safety for youth by regulating AI chatbots. The legislation focuses on implementing age assurance technologies and preventing emotional manipulation or simulated romantic relationships with minors.
RegulatingAI has appointed former Tunisian Prime Minister Mehdi Jomaa to its advisory board to enhance global AI governance by incorporating diverse perspectives from Africa and the Global South. Jomaa emphasizes responsible and inclusive governance to build trust in AI systems and ensure equitable technological progress.
AI companies face scrutiny as parents allege their tools contributed to teenage suicides, prompting calls for schools to address the risks of deepfakes and therapy chatbots. Educators must raise awareness to prevent vulnerable adolescents from relying solely on AI for mental health support.
AI is rapidly integrating into healthcare, offering benefits but also raising concerns about bias and physician burnout. The ongoing debate about regulation highlights challenges hospitals face in compliance and implementation.
Florida’s proposed legislation requires mandatory human review of claim denials to prevent algorithms and AI from being the sole basis for these decisions. This law aims to address concerns about algorithm-driven decisions in insurance while ensuring regulatory compliance.
On December 19, 2025, New York Governor Kathy Hochul signed the Responsible AI Safety and Education Act (RAISE Act), establishing safety, transparency, and incident reporting requirements for large developers of frontier AI models, effective July 1, 2027.
The EU’s Artificial Intelligence Act, effective in early 2026, introduces strict regulations demanding accountability and transparency from AI developers worldwide, reshaping the global technology landscape and setting new standards for responsible AI innovation.
Shadow AI governance is essential as organizations rapidly adopt generative AI, often outpacing their enterprise controls. While Shadow AI can introduce risks such as data exposure, it reflects a workforce eager to innovate and solve problems. Effective governance should address these risks while encouraging creativity.
As we approach 2026, the global economy will transition from “AI-assisted” to “AI-native” operations, introducing autonomous AI agents that redefine corporate processes. This shift brings new cybersecurity challenges, requiring proactive strategies to protect data and identities in the evolving AI economy.