Quantitative research programs relating metacognition and consciousness
Talkat Understanding Higher-Level Intelligence from AI, Psychology, and Neuroscience Perspectives · 2024-06-24..06-28
summary
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.
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chapters (15)
- 0:00Metacognition and consciousness intro
- 2:25Monitoring self and world
- 6:00Blindsight and consciousness
- 9:33Bias-free psychophysical designs
- 12:41Turning off consciousness
- 15:09Neural confidence and choice
- 17:15Type-two psychophysics
- 19:21Manipulating stimulus and attention
- 24:38Reverse engineering metacognition
- 27:51Metacognition and phenomenology
- 31:00AI and consciousness implications
- 33:58AI testing vs consciousness theories
- 37:35Open questions and future work
- 40:50Interdisciplinary science and culture
- 41:56Q&A
