In 2026, boards must move beyond compliance in AI governance to embrace a conscience-driven approach that prioritizes accountability and ethical leadership. As AI increasingly shapes access to essential services, boards must govern with moral clarity and proactive stewardship to maintain legitimacy in the digital economy.
As states enact laws to regulate AI therapy chatbots, concerns grow over their impact on vulnerable users, especially young people. Tragic cases linked to chatbot interactions highlight the urgent need for oversight and professional mental health support.
EMA and the FDA have jointly established ten principles to guide the effective use of artificial intelligence throughout the lifecycle of medicines, from research to safety monitoring, aiming to enhance international collaboration and ensure patient safety.
A proposed bill in Pennsylvania aims to regulate AI usage among children by requiring companies to verify users’ ages and prohibiting minors from accessing AI companions. The legislation responds to concerns about AI’s potential to engage children in inappropriate conversations and its role in recent incidents involving suicidal thoughts among minors.
This analysis examines why AI policy is flourishing in some states while stagnating in others, highlighting that younger, wealthier, and Democratic-leaning states tend to lead in AI legislation. In contrast, older, poorer, and Republican-leaning states show significantly less legislative activity, indicating that political and economic contexts play crucial roles in shaping AI governance.
Washington state lawmakers are discussing AI regulations in public schools during the 2026 legislative session, focusing on establishing guidelines to limit AI use in student discipline and surveillance.
This article highlights the urgent need for improved regulatory oversight of medical AI. It emphasizes that current frameworks overly rely on individual clinicians to evaluate AI recommendations and proposes both short-term and long-term solutions to ensure AI is used safely and effectively in healthcare.
Nintex’s Chief Product and Technology Officer, Niranjan Vijayaragavan, warns that uncoordinated adoption of multiple generative AI tools—referred to as “AI sprawl”—can result in significant waste. He highlights the critical role of governance and automation to embed accountability and efficiency within enterprise AI processes.
The pre-summit event in Washington, D.C. will address significant topics surrounding AI adoption, equity, and policy development in preparation for the 2026 AI Impact Summit. Panels will focus on scaling AI, ensuring compute equity, and creating a shared roadmap for responsible AI innovation.
Kansas City musicians are advocating for regulations on AI-generated music, emphasizing the need to label AI content and support artists through direct purchases rather than streaming.