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When AI Scales Expertise, Who Gets Paid? - Future of Work Podcast

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Manage episode 516129530 series 1411477
Content provided by Workday Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Workday Podcasts 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://podcastplayer.com/legal.

Workday's VP of AI Kathy Pham and MIT researcher Dr. Danielle Li confront the most urgent question in the AI-augmented workplace: When an AI model scales a top performer's expertise, what is owed to the employee whose valuable data made it possible? They explore the AI paradox, arguing that strategic work—training the machine—must be compensated, and that every organization needs a Chief Work Officer to design fair, future-proof collaboration between humans and AI.

  continue reading

109 episodes

Artwork
iconShare
 
Manage episode 516129530 series 1411477
Content provided by Workday Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Workday Podcasts 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://podcastplayer.com/legal.

Workday's VP of AI Kathy Pham and MIT researcher Dr. Danielle Li confront the most urgent question in the AI-augmented workplace: When an AI model scales a top performer's expertise, what is owed to the employee whose valuable data made it possible? They explore the AI paradox, arguing that strategic work—training the machine—must be compensated, and that every organization needs a Chief Work Officer to design fair, future-proof collaboration between humans and AI.

  continue reading

109 episodes

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