For example, in large corporations, investing in AI is a strategic way to optimize performance and future-proof operations.

A comprehensive federal regulatory framework for AI is neither politically nor technically feasible. A more flexible approach is needed.

The difference is striking: The first retailer's governed approach has allowed them to steadily expand their AI capabilities ...

Global Council for Responsible AI's local chapter will tackle key AI-related ethical challenges. Read more at ...

PwC's AI chief explains how forward-thinking leaders are preparing their people and processes for this unprecedented ...

AI governance challenges. AI governance isn’t just a technical hurdle — it’s a multifaceted challenge. Gaining visibility into how AI systems interact with data remains difficult, ...

ModelOp’s new Agentic AI Chat Interface and end-to-end lifecycle automation tools for Agentic AI mark a leapfrog in ...

When it comes to the challenges presented by artificial intelligence, the insurance industry is trying to navigate a proactive course. LIMRA and LOMA are leading the way with its AI Governance ...

The launch of the Global AI Governance Initiative (GAIGI) frames China’s AI goals as global and safety-driven, but the policy also reflects Beijing’s broader foreign policy ambitions.

In the final analysis, Shadow AI is not merely a technical issue; it is a governance challenge, a cultural test, and a call to redefine the boundaries of responsible innovation.

By Seade CaesarArtificial Intelligence (AI) is rapidly redefining the architecture of modern governance, transforming how governments plan, deliver services, and engage with citizens.Nowhere is this ...

March 26, 2025 - The legal and data landscapes are evolving rapidly, particularly in e-discovery and information governance. Legal professionals must anticipate and address these novel challenges ...