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

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

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 ...

India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...

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

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

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

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 governance, strategy and value creation. These are not merely updated compliance ...

Vitalik Buterin proposes anonymous voting framework for Ethereum governance, reversing 2024 anti-anonymity position.