When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

The most successful AI initiatives are those that balance innovation with accountability, embedding governance and readiness into every stage of the transformation.

AI governance cannot live solely within IT. It requires cross-functional oversight. Many institutions are creating AI ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

With generative artificial intelligence (AI) technologies entering nearly every aspect of human life, it has become ever more urgent for organizations to develop AI systems that are trustworthy and ...

Organizations with mature agentic AI governance frameworks are in the distinct minority, but this hasn't stopped leaders from rushing to implement the technology this coming year in a wide variety of ...

S Krishnan emphasizes the need for the Global South to influence AI governance to ensure equitable standards reflecting their ...

Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...

As corporate regulation evolves globally, new frameworks are emerging that reconceptualise the relationship between ...

Türkiye has taken new steps to expand its artificial intelligence ecosystem and public-sector adoption of the technology under decisions published Thursday in the Official Gazette, Industry and ...

Japan’s AI diplomacy in Central Asia prioritises institution-building over infrastructure, reshaping governance norms through ...