Get practical steps on AI Governance for AI Deployers. Learn how to manage risk, meet regulations, and build trust with clear policies and technical controls.
AI Governance for AI Deployers: A Practical Guide
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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
SiriusXM Sued for Alleged AI Hiring Bias
SiriusXM is facing an AI bias lawsuit over hiring practices, highlighting the accountability gap between AI deployers and developers. Discover why governance must address both—and what this case signals for future AI accountability.
AI Governance vs. Data Governance: Key Differences & Synergies
Understand the key differences and synergies in AI governance vs data governance, and learn how they work together to manage risks and enhance compliance.
Building Oversight at Scale with Intelligent AI Inventory Management
Intelligent AI Inventory Management gives you full visibility into every AI model—reducing risk, improving oversight, and supporting governance that adapts as your systems evolve. It’s the foundation for compliance and sustained stakeholder trust.
What is an AI Transparency Policy? A Practical Guide for Enterprises
Learn what an AI Transparency Policy is and how it guides ethical AI use in enterprises. Discover key components and strategies for effective implementation.
Workday Lawsuit Over AI Resume Screening Bias: With July 29, 2025 Court Update
On July 29, 2025, a federal judge expanded Mobley vs Workday to include HiredScore—an AI company Workday acquired. The case now highlights the challenge of explaining decisions from layered AI systems—and the need for structured governance.