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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.
By Workday Podcasts4.8
3636 ratings
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.

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