 | 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:
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Podcast on teaching AI empathy using brain signals
Reddit r/artificial / 4/29/2026
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Key Points
- A podcast episode with Thorsten Zander discusses “passive” brain-computer interfaces (BCIs) that non-invasively read brain signals to infer a user’s mental state with minimal effort from the user.
- The discussion clarifies what non-invasive BCIs can and cannot extract from brain activity, emphasizing that this is not the same as reading thoughts or internal monologue.
- Zander explains how recent hardware and software advances are making passive BCIs more wearable and affordable, enabling continuous neural feedback.
- The episode argues that continuous neural feedback could improve AI training over approaches that rely mainly on human ratings, and it connects this to a potential route toward solving AI alignment.
- It also highlights societal risks, warning that social platforms could potentially exploit unconscious brain reactions for manipulation and that regulation alone may not be sufficient.
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