Machine Learning Street Talk (MLST) avatar

Dexa/Machine Learning Street Talk (MLST)

Learn more

Exploring Human Evil

Karl delves into the concept of evil through a psychiatric lens, discussing how certain conditions can lead to behaviors perceived as evil due to a lack of theory of mind and shared narratives. Tim and Karl debate the nuances of labeling behaviors as evil and the importance of conditional positive regard in psychotherapy.
  • In this clip

  • From this podcast

    Machine Learning Street Talk (MLST) avatar

    Machine Learning Street Talk (MLST)

    #106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]

  • Related Questions

    • If we can't forget traumatic events but can modify our emotional response to past events, can the changes to a person's character following an event also be reversed or altered? For example, if someone who was once very positive and engaging returns from war or suffers the loss of a parent/spouse and becomes guarded and distant, how much of our 'character' is malleable? Or can people truly become 'stuck in their ways'? This question relates to the episode Interview on Psychopathy with Expert Carl Bruce Gacono, Ph.D., ABAP and the clip Trauma and Character Pathology. It also relates to the episode Psychologist Shows How to CHANGE the Way You THINK About LIFE | Benjamin Hardy and the clip Embracing Post-Traumatic Growth.

Built by
Charlie AI
© 2024 Machine Learning Street Talk (MLST)TermsPrivacySupport