Open AccessLeveraging artificial intelligence to improve people’s planning strategies
Author(s) -
Frederick Callaway,
Yash Jain,
Bas van Opheusden,
Priyam Das,
Gabriela Iwama,
Sayan Gul,
P Krueger,
Frederic Becker,
Thomas L. Griffiths,
Falk Lieder
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2117432119
Subject(s) - computer science , competence (human resources) , artificial intelligence , management science , psychology , social psychology , engineering
Significance Many bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a principled computational approach to improving human decision making. The basic idea is to give people feedback on how they reach their decisions. We develop a method that leverages artificial intelligence to generate this feedback in such a way that people quickly discover the best possible decision strategies. Our empirical findings suggest that a principled computational approach leads to improvements in decision-making competence that transfer to more difficult decisions in more complex environments. In the long run, this line of work might lead to apps that teach people clever strategies for decision making, reasoning, goal setting, planning, and goal achievement.