Learn what a model card report is and how it supports responsible AI by providing transparency and accountability in AI model development and deployment.
What is a Model Card Report? Your Guide to Responsible AI
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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 for Developers: A Practical Guide
Get practical steps on AI Governance for AI Developers. Learn how to build ethical, compliant AI systems with clear frameworks, tools, and actionable tips.
AI Governance for AI Deployers: A Practical Guide
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.
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.