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AI and Safety: How Responsible Tech Leaders Build Trustworthy Systems (National Safety Month Special)

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Manage episode 490981681 series 2986762
Content provided by Dan Turchin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Turchin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In honor of National Safety Month, this special compilation episode of AI and the Future of Work brings together powerful conversations with four thought leaders focused on designing AI systems that protect users, prevent harm, and promote trust.

Featuring past guests:

What You’ll Learn:

  • What it means to design AI with safety, transparency, and human oversight in mind
  • How leading enterprises approach responsible AI development at scale
  • Why data privacy and permissions are critical to safe AI deployment
  • How to detect and mitigate bias in predictive models
  • Why responsible AI requires balancing speed with long-term impact
  • How trust, explainability, and compliance shape the future of enterprise AI

Resources

Other special compilation episodes

  continue reading

287 episodes

Artwork
iconShare
 
Manage episode 490981681 series 2986762
Content provided by Dan Turchin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dan Turchin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In honor of National Safety Month, this special compilation episode of AI and the Future of Work brings together powerful conversations with four thought leaders focused on designing AI systems that protect users, prevent harm, and promote trust.

Featuring past guests:

What You’ll Learn:

  • What it means to design AI with safety, transparency, and human oversight in mind
  • How leading enterprises approach responsible AI development at scale
  • Why data privacy and permissions are critical to safe AI deployment
  • How to detect and mitigate bias in predictive models
  • Why responsible AI requires balancing speed with long-term impact
  • How trust, explainability, and compliance shape the future of enterprise AI

Resources

Other special compilation episodes

  continue reading

287 episodes

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