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Quantitative research programs relating metacognition and consciousness

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Argues for a measurable “type-two psychophysics” by forcing dissociations between task accuracy and confidence using visual masking, TMS, ECoG and large behavioral datasets. Masking yields only weak blindsight-like effects, TMS reliably lowers accuracy while leaving confidence high, and an ideal-observer model predicts behavior only if introspective noise is added. ECoG decodes choice from occipital sites and confidence from distributed frontal sites. Large dot- and attention-manipulations show metacognitive sensitivity depends on trial structure and attention, and a theory-driven checklist evaluates risks of conscious-like AI and ethical implications.

AI-written summary · about

  1. 0:00Metacognition and consciousness intro
  2. 2:25Monitoring self and world
  3. 6:00Blindsight and consciousness
  4. 9:33Bias-free psychophysical designs
  5. 12:41Turning off consciousness
  6. 15:09Neural confidence and choice
  7. 17:15Type-two psychophysics
  8. 19:21Manipulating stimulus and attention
  9. 24:38Reverse engineering metacognition
  10. 27:51Metacognition and phenomenology
  11. 31:00AI and consciousness implications
  12. 33:58AI testing vs consciousness theories
  13. 37:35Open questions and future work
  14. 40:50Interdisciplinary science and culture
  15. 41:56Q&A
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