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AI Governance Playbook for ISO 42001 Certification
Discover how ISO 42001 is reshaping AI governance. Explore its core principles, global relevance, and how to move from principles to certification readiness—structuring controls, assessing system-level risk, and aligning AI management with certification goals.
Value And AI Risk Sit At The Application Layer
Guru Sethupathy explores why AI risks—such as bias, misuse, and security failures—are rooted in the application layer. He emphasizes that robust AI governance and guardrails at the app level are critical to unlocking value while avoiding hidden AI pitfalls.
Where Is The Artificial Intelligence Regulations Landscape Going?
AI regulation is accelerating—from the EU AI Act to emerging U.S. enforcement. This article breaks down four key developments in 2025 that will shape how organizations govern, test, and deploy AI across high-risk and enterprise-wide use cases.
Leveraging AI Governance: Moving From Compliance Burden To Competitive Edge
Artificial intelligence governance is no longer just a safeguard. It’s how leading organizations reduce risk, accelerate adoption, and build trust—especially in high-stakes sectors like finance, healthcare, and HR where the cost of failure is high.
Talent Tech Labs Debuts AI Risk Suite with FairNow Partnership
Talent Tech Labs has launched a new AI governance offering to help HR and Talent leaders manage the risks of AI. In partnership with FairNow, the solution enables independent assessments of AI systems, supports regulatory compliance, and simplifies vendor reviews. The goal: ensure responsible AI use across the workforce tech ecosystem.
AI Usage Policy: Defining Employee Acceptable AI Use
In this executive’s guide, learn how to build an AI usage policy, pulling from templates and best practice examples to define acceptable use of AI for employees.