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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Three Challenges for AI-Assisted Decision-Making.

Mark Steyvers1, Aakriti Kumar1

  • 1Department of Cognitive Sciences, University of California, Irvine.

Perspectives on Psychological Science : a Journal of the Association for Psychological Science
|July 13, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance human decision-making, but challenges remain in understanding complementarity, assessing human mental models of AI, and optimizing human-AI interaction design for effective collaboration.

Keywords:
AI-assisted decision-makingadvice takinghuman-AI collaborationhuman-computer interactionmental models

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Area of Science:

  • Human-Computer Interaction
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Artificial intelligence (AI) offers potential to improve human decision-making through recommendations and information.
  • Realizing the full benefits of human-AI collaboration faces significant challenges.

Purpose of the Study:

  • To address key challenges in human-AI collaboration.
  • To explore conditions for complementarity between humans and AI.
  • To investigate the role of human mental models and interaction design in AI-assisted decision-making.

Main Methods:

  • Interdisciplinary review of empirical and theoretical findings.
  • Analysis of challenges in AI complementarity, mental models, and interaction design.
  • Identification of new research directions.

Main Results:

  • Understanding conditions for human-AI complementarity is crucial.
  • Accurate assessment of human mental models of AI is necessary.
  • Optimizing human-AI interaction design is key to avoiding cognitive overload and ineffective reliance.

Conclusions:

  • Addressing these challenges requires understanding complementarity, mental models, and interaction design.
  • Further research is needed to advance effective human-AI collaboration.
  • An interdisciplinary approach is vital for progress in human-AI decision-making.