e& has partnered with IBM to introduce enterprise-grade agentic AI to enhance governance and compliance systems, moving beyond traditional chatbots. Announced at the World Economic Forum, this innovative solution aims to streamline compliance tasks and enable faster decision-making within the organization.
At BT Davos 2026, Christopher Lehane from OpenAI discusses the importance of ethical AI development, emphasizing the need for global safety standards and regulations that foster innovation while protecting users. He highlights OpenAI’s commitment to children’s safety through age-appropriate models and the localization of AI systems to meet diverse cultural needs.
NetApp and Domino Data Lab discuss the challenges of AI governance, traceability, and cost management as AI adoption accelerates in enterprises. They emphasize the importance of moving from pilot programs to production systems while ensuring transparency and optimizing infrastructure for efficiency.
The recent executive order by the Trump Administration shifts AI regulatory authority from states to the federal government, creating short-term uncertainty but aiming for a centralized and more predictable nationwide AI regulatory framework.
Artificial intelligence is transforming the banking industry by enhancing speed, precision, and insight, while requiring careful governance and risk management to address data integrity, compliance, and operational challenges.
Agentic AI automates compliance by embedding rules within workflows, shifting from human-led reviews to system-led enforcement. This improves efficiency, reduces errors, and builds trust—an essential advantage in India’s complex, compliance-heavy environment.
This article provides practical strategies for sponsors navigating the FDA’s new AI systems, focusing on how to structure submissions for clarity and completeness. It emphasizes proactive engagement with the FDA and effective recordkeeping to ensure regulatory success while protecting proprietary interests.
Valve has clarified its AI disclosure rules for Steam. Developers do not need to disclose AI-powered tools used for workflow efficiency but must reveal specific categories of generative AI use that appear in games or marketing materials, including AI-generated content in games and associated marketing assets.
New Mexico leaders are proposing the Artificial Intelligence Accountability Act to regulate harmful AI-generated images, aiming to protect residents from deepfake and pornographic content. The bill establishes penalties for violations and enables individuals harmed by such materials to pursue civil litigation against creators.
“AI Strategy and Security” is a comprehensive guide for organizations implementing enterprise AI programs, emphasizing the essential links between AI strategy, security, governance, and operations. Authored by Dr. Donnie W. Wendt, it offers practical insights to prepare leaders for challenges in AI adoption across multiple industries.