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Guru Sethupathy

Guru Sethupathy has spent over 15 years immersed in AI governance, from his academic pursuits at Columbia and advisory role at McKinsey to his executive leadership at Capital One and the founding of FairNow. When he’s not thinking about responsible AI, you can find him on the tennis court, just narrowly escaping defeat at the hands of his two daughters. Learn more on LinkedIn at https://www.linkedin.com/in/guru-sethupathy/

Resources by:Guru Sethupathy

AI Governance, Explained

AI Governance, Explained

AI governance is how organizations manage AI risk and ensure responsible use. This guide breaks down what good governance looks like—inventory, risk, compliance, oversight—and compares 6 AI governance software platforms and what they are best positioned for.

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AI Governance Playbook for ISO 42001 Certification

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.

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Value And AI Risk Sit At The Application Layer

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.

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