Your AI Pilot is Lying to You: Why Enterprise Tech Needs a Trust Score

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale AI responsibly, and how the AI Trust Lab is building a benchmark evaluation framework for AI model trust and governance.

  • Key Moments*
  • (0:00) Guest Introduction
  • (2:13) Why 80% of AI Projects Stall
  • (6:00) Nine-Step Framework for AI Products
  • (12:41) The Case Against "Fix Your Data First"
  • (16:35) Four Mindset Shifts to Scale AI
  • (23:54) Inside the AI Trust Lab at USC
  • (28:36) AI Governance Needs Many Disciplines
  • Key Quotes*
  • “I think the fundamental problem that organizations are facing today… is not that they have a lack of experimentation in the demo aspect. The challenge is they don't know how to take those demos to production, and that is where I saw the gap.” - Shub Agarwal
  • “I do think data is the fuel for AI… But I think today organizations are crippled by this ‘fix your data, and then we'll build AI’, and they never build AI. They never build use cases that are adding value.” - Shub Agarwal
  • “There's no FICO scores for models, so I decided to create one. I built this lab… bringing the computer scientists, the researchers, the applied AI researchers, the policy, and the communication people together to think of what is trust, define it, and ultimately measure and evaluate it.” - Shub Agarwal
  • Mentions*
  • USC AI Trust Hub: https://globalaitrust.org/
  • Successful AI Product Creation: A Nine-Step Framework by Shub Agarwal: https://www.amazon.com/Successful-AI-Product-Creation-Framework/dp/1394337841
  • Four Steps to Epiphany: Successful Strategies for Products That Win by Steve Blank: https://www.amazon.com/Four-Steps-Epiphany-Steve-Blank/dp/0989200507
  • Masters of Scale podcast with Reid Hoffman: https://mastersofscale.com/episode_category/classic-episode/
  • Guest Bios*
  • Shub Agarwal is an associate professor of professional practice at the University of Southern California, an industry executive, and an advisor to start-ups and academic institutions. He holds an MBA from the University of California, Los Angeles (UCLA), and an MS from Carnegie Mellon University (CMU). He is the author of two books: Solve Catch-22 of Product Management and Successful AI Product Creation: A 9-Step Framework. He has made significant contributions to the fields of artificial intelligence and machine learning, holding several U.S. and global patents for his work, and is also a published author of several technical research papers.

With around two decades of extensive experience in product management and leadership, his journey has been marked by a relentless pursuit of leveraging AI technologies to create impactful products that redefine industry standards. His industry experience includes leadership roles at Amazon, Silicon Valley start-ups, and other Fortune 50 firms.

Music: “The Clermont” by Flash Fluharty
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