
Description
This Mission approaches how we can optimize human-AI group decision making. How can we create super-intelligent groups that operate effectively in dynamic environments? How can highly polarized groups make decisions the whole group will implement?
Goals include defining benchmarks to determine what is superintelligence and character types of tasks and groups, and how to evaluate performance of different types of groups and tasks. Engineering goals include developing modeling and CAD tools for group design, create a library of group configurations, and establish predictive models to evaluate performance.
During Advances in the quest to understand intelligence, a one-day conference held at MIT on Nov. 4, 2022, Tom Malone gave an overview of this Mission and its goals.
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Patrick J. McGovern Professor, MIT Sloan School of ManagementFounding Director, MIT Center for Collective IntelligenceMissions
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X Consortium Career Development Assistant Professor, Department of Electrical Engineering and Computer ScienceComputer Science and Artificial Intelligence Laboratory
- Natural Language Processing
- Machine Learning
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Professor, Department of Electrical Engineering and Computer ScienceDirector, MIT Center for Deployable Machine LearningComputer Science and Artificial Intelligence Laboratory
- Machine Learning
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Middleton Career Development Associate Professor of Neuroscience, Department of Brain and Cognitive SciencesInvestigator, McGovern Institute for Brain Research
- Natural Language Processing
Missions -
Deputy Dean of Academics, MIT Schwarzman College of ComputingProfessor and Head, Department of Electrical Engineering and Computer Science
- Machine Learning
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Deputy Dean of Research, MIT Schwarzman College of ComputingDirector, Computer Science and Artificial Intelligence LaboratoryAndrew and Erna Viterbi Professor, Department of Electrical Engineering and Computer Science
- Machine Learning
- AI Robotics
Missions -
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Professor, Department of Brain and Cognitive Sciences
- Machine Learning
- Natural Language Processing
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Erwin H. Schell Professor, MIT Sloan School of ManagementAssociate Professor, Department of Brain and Cognitive SciencesInstitute for Data, Systems, and Society
- Computational Cognition
- Behavioral Science
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Director, MIT Quest Systems EngineeringProfessor, Department of Aeronautics and AstronauticsComputer Science and Artificial Intelligence Laboratory
- Machine Learning
- Efficient AI
- AI Robotics
MissionsProjects