Podcast on teaching AI empathy using brain signals

Podcast on teaching AI empathy using brain signals

Podcast episode with Thorsten Zander, professor at Brandenburg University of Technology and co-founder of Zander Labs. He coined the concept of passive brain-computer interfaces: devices that read brain signals to decode a user's mental state, non-invasively and without any effort on their part.

Covers:

  • What non-invasive brain-computer interfaces (BCIs) can actually pick up from brain signals, and why that's very different from reading your thoughts or internal monologue
  • The hardware and software breakthroughs that are finally making passive BCIs wearable and affordable
  • How continuous neural feedback could dramatically improve AI training compared to current methods based on human ratings
  • Why Thorsten believes passive BCIs may offer the most concrete path to solving the AI alignment problem
  • The risk of social networks exploiting unconscious brain reactions to manipulate people, and why regulation alone is unlikely to be enough
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