The article explores the complexities and challenges of adopting Agentic AI in enterprises, highlighting successful ...

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

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

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

AI governance has relied heavily on the assumption that powerful models are deployed by major technology companies through cloud-based platforms. This centralized structure has enabled control points, ...

New research from OutSystems, a leading AI-powered low-code development platform, points to an increasing trend in agentic AI ...

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.

Li Qiang called AI a growth driver but stressed fragmented governance and urged global coordination to build a unified ...

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 ...

Artificial Intelligence (AI) is transforming governance globally, offering the potential for governments to modernise public ...

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.