For artificial intelligence in government to have a positive impact, it must be trusted by employees and citizens alike. Effective AI governance is essential to bridge the gap between high public trust in AI and the necessary investments in governance measures.
AI is revolutionizing knowledge management by shifting it from a passive repository to an active organizational capability that delivers knowledge directly to employees. This shift necessitates trust and effective governance to ensure the reliability of AI-generated information.
This article advocates for regulating the use of AI rather than the AI models themselves, highlighting the ineffectiveness of model-centric regulations and the benefits of a risk-based, use-focused regulatory framework.
Snohomish County is organizing a civic assembly of about 40 residents to draft recommendations on AI use in local government, emphasizing transparency and public participation to ensure diverse community voices shape the regulations.
As AI regulations evolve, CX leaders should understand that President Trump’s executive order reshapes regulatory enforcement but does not remove compliance risks. Organizations must strengthen internal governance to navigate complex state and federal AI requirements.
To lead the agentic AI revolution in 2026, the United States must maintain export controls, expand its technological infrastructure globally, and encourage adoption of US-aligned agentic AI. The era of agentic artificial intelligence has begun, promising to transform global commerce, security, and governance.
Indonesia’s recent conditional reversal on Grok access marks a significant shift in AI governance in Southeast Asia, potentially paving the way for more structured and collaborative regulation of artificial intelligence in the region.
NYAI is a legal and compliance AI startup founded by Adv. Dr. Chinmay Bhosale, addressing the complexities of India’s legal system by prioritizing accuracy and depth in legal information. The company focuses on legal intelligence and compliance automation to simplify the overwhelming volume of laws and compliance obligations for businesses.
Dr. Steffen Hoffmann of Bosch discusses the importance of ethical AI solutions in regulated industries, highlighting how AI can improve operations with safety, explainability, and human oversight. He emphasizes earlier AI deployment in production workflows to reduce defects, matching AI oversight to risk, and using generative AI as decision support rather than autonomous authority.
Generative AI (GenAI) has transitioned from experimentation to everyday use in organizations, offering significant efficiency gains but also introducing complex compliance risks. Compliance leaders must enable responsible GenAI adoption through a practical, risk-based governance approach while maintaining transparency and accountability.
