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Advice from artificial intelligence: a review and practical implications.

Julia I Baines1, Reeshad S Dalal1, Lida P Ponce1

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This study reviews advice from artificial intelligence (AI) versus human advisors, proposing a framework to understand AI

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Area of Science:

  • Organizational behavior and decision-making.
  • Human-computer interaction.
  • Artificial intelligence applications in the workplace.

Background:

  • Extensive research exists on human-to-human advice.
  • Artificial intelligence (AI) is increasingly studied in organizational contexts.
  • A comprehensive review comparing AI and human advice is lacking.

Purpose of the Study:

  • To develop a framework for characterizing AI (vs. human) advice interactions.
  • To synthesize existing research on advice-taking.
  • To guide future research and practical applications of AI advice.

Main Methods:

  • Conceptual review invoking judgment and decision-making research.
  • Development of a "fit"-based model.
  • Analysis of AI advisor, human decision-maker, and environmental factors.

Main Results:

  • Summarizes factors influencing AI and human advice exchanges and outcomes.
  • Speculates on the long-term impact of AI advancements on advice dynamics.
  • Identifies future research directions and practical implications.

Conclusions:

  • A framework is needed to understand AI's role in augmenting human decision-making.
  • Future research should explore the nuances of AI-human advice interactions.
  • Practical guidelines are necessary for effective AI advice integration in workplaces.