Navrina Singh
Founder & CEO
Credo AI
Navrina Singh is the Founder and CEO of Credo AI, an AI governance platform that empowers organizations to use the technology responsibly by monitoring AI risks. Earlier, Navrina spent nearly two decades building products in mobile, AI, and SaaS at companies such as Microsoft and Qualcomm. She is a member of the U.S. Department of Commerce National AI Advisory Committee where she advises the President and the National AI Initiative Office. She is also a World Economic Forum young global leader and previously served as an executive board member of Mozilla, supporting its trustworthy AI charter
Control Room
Control Room
From Software to Steel: The Race to Govern AI
Join us for an invitation-only, candid session designed for AI leaders shaping what comes next.
We’ll dive into:
- Operationalizing AI governance at scale - How governance and policy help ensure AI aligns with human intent
- Robotics in real operational environments - deployment lessons, reliability, and scaling beyond pilots
- Enabling Enterprise AI Adoption - how smart guardrails accelerate innovation and deployment
- Operationalizing AI governance at scale - How governance and policy help ensure AI aligns with human intent
- Robotics in real operational environments - deployment lessons, reliability, and scaling beyond pilots
- Enabling Enterprise AI Adoption - how smart guardrails accelerate innovation and deployment
This session is an opportunity to exchange perspectives with founders and senior industry leaders, and to build real relationships in a relaxed, engaging setting.
Attendance requires an active HumanX conference pass.
Best for:
Finance and Accounting
Sponsored by J.P. Morgan

Presented by




Navrina Singh
Founder & CEO
Credo AI
Kevin Peterson
CTO
Bedrock Robotics

Terah Lyons
Managing Director, Global Head of AI & Data Policy
JPMorganChase
Shikha Goyal-Allain
Managing Director
JP Morgan
Control Room
Control Room
Governing AI Isn’t Optional Anymore
From hallucinations to regulation, enterprise AI now demands serious oversight. Learn how leaders are building governance into the stack. Monitoring accuracy, compliance, and accountability before models go live. What does responsible AI look like when it actually scales?
Best for:
TechnologyLegal, Compliance, Policy
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