Ai Governance
3 articles
Two Frameworks, One Gap: How the US Is Structuring AI Governance for Critical Infrastructure
The US is developing a layered AI governance strategy for critical infrastructure, combining the broad NIST AI RMF with the role-specific DHS framework. A new NIST AI RMF Profile for Critical Infrastructure is forthcoming to provide tailored operational guidance.
A Four-Pillar Framework for Governing Your AI Workforce
Organizations must implement a four-pillar framework to govern their AI workforce, ensuring responsible integration and mitigating risks like uncontrolled costs, compliance failures, and ethical vulnerabilities. This structured approach is crucial for HR and business leaders managing an expanding digital workforce.
Explainable AI: Building Trust and Ensuring Compliance in Enterprise Applications
Explainable AI (XAI) is a foundational requirement for enterprises deploying AI systems, enabling understanding, validation, and trust in AI-driven decisions. It addresses regulatory risks and builds stakeholder confidence by making complex models transparent and accountable.