Responsible AI Institute: How to govern AI in the new agentic age before it governs you
Webinar details
AI agents are no longer just answering questions. They are booking appointments, routing decisions, approving transactions, and taking action across the business. That creates a very different kind of risk.
In this on-demand session, Manoj Saxena, Founder and Chairman of the Responsible AI Institute, explains how leaders can govern AI systems based on what they actually do, not just what they are called. He shares a practical way to classify, manage, and verify AI and AI agents as they become more active in day-to-day work.
Watch this session if your team is moving from AI principles to real deployment and needs a better way to stay secure, compliant, and in control.
What you’ll learn:
- How agentic AI changes the governance and risk conversation
- How to classify AI systems based on their real-world actions
- What it takes to verify and manage AI agents responsibly
- How to build more confidence and accountability into AI deployment
About the presenters
Manoj Saxena
Founder and Chairman at Responsible AI Institute
Called the “father of IBM Watson” and a pioneer of “Trusted Artificial Intelligence” for his work on building ethical AI systems, Manoj Saxena is a leading practitioner, educator, and investor at the forefront of responsible AI innovation.
Saxena is the founder and Executive Chairman of Responsible AI Institute a seven-year-old non-profit dedicated to adoption of Trustworthy and Ethical AI. He is also the founder of Trustwise a generative AI safety software company on a mission to help companies build safe and cost optimized generative AI solutions.
Previously, he was the General Manager of IBM Watson and was Chairman of the Board at the US Federal Reserve Bank of Dallas, San Antonio where he served for six years in that role. Prior to IBM, Saxena was the founder and CEO of two venture-backed software companies which were acquired within a five-year span by Commerce One and by IBM.
Saxena is a Director of the Saxena Family Foundation and a Lecturer at University of Texas Austin where he teaches a course on Design of Ethical Artificial Intelligence systems. He is also a fellow contributor at Cambridge University on a new program teaching ‘Responsible Leadership in an Age of AI’.
In his part time, he is an avid auto racing enthusiast and has completed over 60,000 miles in track, endurance, and auto rally races around the world in his 1934 Alvis Speed 20, a 1972 Datsun 240z, and a 2009 Porsche 911 GT3RS.
Saxena holds a post graduate degree in business administration from Michigan State University, and graduate degree in management sciences from the Birla Institute of Technology & Science in Pilani, India. Saxena is a holder of 34 AI software patents.