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Data governance, adversarial testing & more - Essential strategies to scale AI responsibly in a shifting regulatory environment

with Jim Palmer

March 4, 2025
Data governance, adversarial testing & more - Essential strategies to scale AI responsibly in a shifting regulatory environment
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Jim Palmer (Chief AI Officer @ Dialpad) discusses the current state and future of data governance, scaling AI responsibly, and practical strategies for companies at different stages of AI adoption. We break down the impact of red-teaming / adversarial testing on AI governance, mitigating risk, unexpected positive outcomes from red-teaming, and how to launch and scale adversarial testing efforts. Plus investments in data & governance you should be focusing on, structured data as a cheat code to durability & adaptability, building in data deletion systems and other essential tips & strategies for an evolving AI regulatory and governance environment.

ABOUT JIM PALMER

Jim Palmer is the Chief AI Officer at Dialpad. Previously he was CTO and Co-Founder of TalkIQ, a conversational intelligence start-up with expertise in real-time speech recognition and natural language processing, acquired by Dialpad in May of 2018. Prior to TalkIQ, he was the founding engineer on the eBay Now local delivery service.


SHOW NOTES:

  • Tips and cheat codes for navigating AI governance (3:30)
  • Breaking down red teaming & adversarial testing in AI governance (8:02)
  • Launching and scaling adversarial testing efforts (11:27)
  • Unexpected benefits unlocked with adversarial testing (13:43)
  • Understanding data governance and strategic AI investments (15:38)
  • Building resilient AI from concept to customer validation (19:28)
  • Exploring early feature validation and pattern recognition in AI (22:38)
  • Adaptability in data management and ensuring safe, ethical data use while adapting to evolving legal and governance requirements (26:51)
  • How to prepare data for safe and sustainable long-term use (30:02)
  • Strategies for compliant data practices in a regulated world (32:43)
  • Building data deletion systems with model training in mind (35:14)
  • Current events and trends shaping adaptability and durability in the AI ecosystem (38:38)
  • The role of a Chief AI Officer (41:20)
  • Rapid fire questions (44:35)

LINKS AND RESOURCES

  • Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World - With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

This episode wouldn’t have been possible without the help of our incredible production team:

Patrick Gallagher - Producer & Co-Host

Jerry Li - Co-Host

Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/

Dan Overheim - Audio Engineer, Dan’s also an avid 3D printer - https://www.bnd3d.com/

Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

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