The Neuron: AI Explained AI Governance Unpacked: Credo CEO Navrina Singh on Building Trust in AI Models
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Aug 19, 2025 Navrina Singh, CEO and founder of Credo AI and a notable advisor on AI policy, dives deep into the essentials of AI governance. She discusses the critical need for effective governance frameworks that align AI with ethical standards. Topics include the innovative concept of Model Trust Scores, the challenges of navigating between EU and U.S. regulations, and the unique risks that accompany open-source AI. Singh also explores the balance between innovation and safety, emphasizing the importance of transparency and public trust in AI development.
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Governance Is The Trust Engine
- Governance makes trust in AI operational through policies, processes, and tooling.
- It must align systems to objectives, surface and mitigate risks, and ensure compliance with standards and company policy.
Begin With A Governance Maturity Map
- Start AI governance by mapping your maturity and registering your AI applications in a central registry.
- Track models, datasets, and agents so you can apply targeted governance based on scale and risk.
Govern By Use Case, Not By Hype
- Governance must be use-case and industry specific rather than one-size-fits-all.
- Credo AI governs at the use-case level to match risks and compliance needs to context.
