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How AI is Evolving from Assistant to Co-Worker

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Manage episode 449736714 series 3459805
Content provided by HatchWorks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HatchWorks 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.

Could AI evolve from its position as a handy assistant to a fully-fledged teammate in the workplace?

Patrick Lynch, PhD, AI Faculty Lead at Hult International Business School, and Omar Shanti, CTO of HatchWorks, join host Matt Paige to explore the AI industrial revolution we’re seeing and how human-AI collaboration could drastically affect the way teams collaborate.

Patrick takes us through the "four faces of AI" - mechanical, analytical, intuitive, and empathetic - highlighting the progression of AI maturity and what it could mean for the future of work. This framework provides a valuable lens through which leaders can understand and leverage AI in the future.

The episode also touches on cutting-edge AI applications, such as Hume AI's voice models, which can detect and respond to human emotions, opening up new possibilities for AI-human interaction in various fields, from customer service to therapy and education.

Curious about how AI is becoming your new co-worker? Listen to Talking AI, where we explore how AI is turning into a real teammate at work. Subscribe on your favorite podcast platform and join us as we discuss how this technology is changing our future!

Key moments:

  • Why we’re seeing an AI industrial revolution
  • How we can start thinking of AI as co-workers
  • The four faces of AI
  • A demonstration of Hume AI
  • How AI is starting to recognize emotion
  • Potential use cases for AI co-workers
  • The challenge of coding charisma into AI
  • How adoption of AI could be affected by inaccurate results
  • Which cultures are best suited to using AI

Key links:


  continue reading

52 episodes

Artwork
iconShare
 
Manage episode 449736714 series 3459805
Content provided by HatchWorks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HatchWorks 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.

Could AI evolve from its position as a handy assistant to a fully-fledged teammate in the workplace?

Patrick Lynch, PhD, AI Faculty Lead at Hult International Business School, and Omar Shanti, CTO of HatchWorks, join host Matt Paige to explore the AI industrial revolution we’re seeing and how human-AI collaboration could drastically affect the way teams collaborate.

Patrick takes us through the "four faces of AI" - mechanical, analytical, intuitive, and empathetic - highlighting the progression of AI maturity and what it could mean for the future of work. This framework provides a valuable lens through which leaders can understand and leverage AI in the future.

The episode also touches on cutting-edge AI applications, such as Hume AI's voice models, which can detect and respond to human emotions, opening up new possibilities for AI-human interaction in various fields, from customer service to therapy and education.

Curious about how AI is becoming your new co-worker? Listen to Talking AI, where we explore how AI is turning into a real teammate at work. Subscribe on your favorite podcast platform and join us as we discuss how this technology is changing our future!

Key moments:

  • Why we’re seeing an AI industrial revolution
  • How we can start thinking of AI as co-workers
  • The four faces of AI
  • A demonstration of Hume AI
  • How AI is starting to recognize emotion
  • Potential use cases for AI co-workers
  • The challenge of coding charisma into AI
  • How adoption of AI could be affected by inaccurate results
  • Which cultures are best suited to using AI

Key links:


  continue reading

52 episodes

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