Metacognitive Intelligence in Human-AI Teams
Professor of Psychology
58:17·2026·graduate level·Research Seminar
Exploring how human-AI teams can leverage metacognitive information exchange to enhance decision-making and optimize collective intelligence.
Theory & AlgosAI & MLAlgorithms & Data StructuresDeep LearningComplex Systems & Scalinghuman-AI interaction
Aaron S. Benjamin, University of Illinois Urbana-Champaign
Groups of people make effective decisions in part because they have sophisticated means of exchanging metacognitive information when they work together. Metacognitive information can take the form of confidence appraisals, explanations, or other means of conveying mastery, challenges, and workload. It can also be subtly embedded in one s prosody or nonverbal cues. This information is used by partners to delegate assignments, produce collaborative assessments, and harness the benefits of the group s collective expertise.
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