Leveraging artificial intelligence to improve people’s planning strategies

Abstract

Human decision making is plagued by systematic errors that can have devastating consequences. Previous research has found that such errors can be partly prevented by teaching people decision strategies that would allow them to make better choices in specific situations. Three bottlenecks of this approach are our limited knowledge of effective decision strategies, the limited transfer of learning beyond the trained task, and the challenge of efficiently teaching good decision strategies to a large number of people. We introduce a general approach to solving these problems that leverages artificial intelligence to discover and teach optimal decision strategies. As a proof of concept, we developed an intelligent tutor that teaches people the automatically discovered optimal heuristic for environments where immediate rewards do not predict long-term outcomes. We found that practice with our intelligent tutor was more effective than conventional approaches to improving human decision making. The benefits of training with our cognitive tutor transferred to a more challenging task and were retained over time. Our general approach to improving human decision making by developing intelligent tutors also proved successful for another environment with a very different reward structure. These findings suggest that leveraging artificial intelligence to discover and teach optimal cognitive strategies is a promising approach to improving human judgment and decision making.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 16, 2022
Source ID
10.1073/pnas.2117432119

Entities

People

  • Bas Van Opheusden
  • Falk Lieder
  • Frederic Becker
  • Frederick Callaway
  • Gabriela Iwama
  • Paul M. Krueger
  • Priyam Das
  • Sayan Gul
  • Thomas L. Griffiths
  • Yash Jain

Organizations

  • Air Force Office of Scientific Research
  • Max Planck Institute for Intelligent Systems
  • National Science Foundation
  • Office of Naval Research
  • Princeton University
  • Templeton World Charity Foundation
  • University of California

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks