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1024: Blake Eastman | Can Machines Read People Better Than Humans?

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Manage episode 431404084 series 2030630
Content provided by Jordan Harbinger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jordan Harbinger 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://player.fm/legal.

Body language expert Blake Eastman debunks nonverbal myths and reveals how AI is revolutionizing our understanding of human behavior and communication!

What We Discuss with Blake Eastman:

  • Traditional body language "rules" (like crossed arms meaning resistance or eye movements indicating lying) are often oversimplified and unreliable. Context, individual differences, and cultural factors play a significant role in interpreting nonverbal behavior.
  • Detecting lies through body language alone is not reliable. Even trained professionals struggle to accurately identify deception based solely on nonverbal cues.
  • Social context and cultural norms greatly influence how we interpret and display nonverbal behavior. What's considered appropriate or meaningful in one culture may be perceived differently in another.
  • AI and machine learning are being developed to analyze human behavior, including facial expressions, voice patterns, and other nonverbal cues. This technology has potential applications in various fields, including healthcare and communication.
  • The development of AI that can read human behavior raises both exciting possibilities and ethical concerns that need to be carefully considered.
  • And much more...

Full show notes and resources can be found here: jordanharbinger.com/1024

This Episode Is Brought To You By Our Fine Sponsors: jordanharbinger.com/deals

Sign up for Six-Minute Networking — our free networking and relationship development mini course — at jordanharbinger.com/course!

Like this show? Please leave us a review here — even one sentence helps! Consider including your Twitter handle so we can thank you personally!

  continue reading

1033 episodes

Artwork
iconShare
 
Manage episode 431404084 series 2030630
Content provided by Jordan Harbinger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jordan Harbinger 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://player.fm/legal.

Body language expert Blake Eastman debunks nonverbal myths and reveals how AI is revolutionizing our understanding of human behavior and communication!

What We Discuss with Blake Eastman:

  • Traditional body language "rules" (like crossed arms meaning resistance or eye movements indicating lying) are often oversimplified and unreliable. Context, individual differences, and cultural factors play a significant role in interpreting nonverbal behavior.
  • Detecting lies through body language alone is not reliable. Even trained professionals struggle to accurately identify deception based solely on nonverbal cues.
  • Social context and cultural norms greatly influence how we interpret and display nonverbal behavior. What's considered appropriate or meaningful in one culture may be perceived differently in another.
  • AI and machine learning are being developed to analyze human behavior, including facial expressions, voice patterns, and other nonverbal cues. This technology has potential applications in various fields, including healthcare and communication.
  • The development of AI that can read human behavior raises both exciting possibilities and ethical concerns that need to be carefully considered.
  • And much more...

Full show notes and resources can be found here: jordanharbinger.com/1024

This Episode Is Brought To You By Our Fine Sponsors: jordanharbinger.com/deals

Sign up for Six-Minute Networking — our free networking and relationship development mini course — at jordanharbinger.com/course!

Like this show? Please leave us a review here — even one sentence helps! Consider including your Twitter handle so we can thank you personally!

  continue reading

1033 episodes

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