Emerging AI governance leaders inside health systems guide automation use to ensure compliance, clinical integrity, and operational efficiency.

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 ...

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

The American Medical Association (AMA) has released new guidance for health systems looking to develop and implement artificial intelligence within their organization. The new Governance for Augmented ...

Ed Gaudet is the CEO and Founder of Censinet, a healthcare risk management platform, and member of the Health Sector Coordinating Council. Risk management is undergoing a seismic transformation due to ...

A practical blueprint for companies and CEOs that shows how to secure agentic systems by shifting from prompt tinkering to hard controls on identity, tools, and data.

Principles-based AI governance establishes core ethical principles rather than specific rules, providing a flexible framework for responsible AI development and use. It focuses on high-level ...

As healthcare data grows more complex and cyber threats become more severe, the need for strong data governance and cohesive, system-wide analytics strategies has never been greater. Yet even today, ...

California’s school governance system needs to be overhauled to make it more accountable, clear up confusing lines of authority and address uneven assistance, according to a new report released Monday ...