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Data governance, adversarial testing & more - Essential strategies to scale AI responsibly in a shifting regulatory environment w/ Jim Palmer #210

48:58
 
공유
 

Manage episode 469599204 series 2869838
ELC and The Engineering Leadership Community (ELC)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 ELC and The Engineering Leadership Community (ELC) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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/

  continue reading

241 에피소드

Artwork
icon공유
 
Manage episode 469599204 series 2869838
ELC and The Engineering Leadership Community (ELC)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 ELC and The Engineering Leadership Community (ELC) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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/

  continue reading

241 에피소드

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