Transcription of Artificial intelligence and behavioral economics - …
{{id}} {{{paragraph}}}
1 Artificial intelligence and behavioral economics Colin F. Camerer Caltech 12/21/17 PST. For NBER volume (Editors A. Agarwal, J. Gans, A. Goldfarb). I: Introduction This paper describes three highly speculative ideas about how Artificial intelligence (AI) and behavioral economics may interact, particular in future developments in the economy and in research frontiers. First note that I ll use the terms AI and machine learning (ML) interchangeably (although AI is broader) because the examples I have in mind all involve ML and prediction. A good introduction to ML for economists is Mullainathan and Spiess (2017), and other papers in this volume. The first idea is that ML can be used in the search for new behavioral -type variables that affect choice. Two examples are given, from experimental data on bargaining and on risky choice. The second idea is that some common limits on human prediction might be understood as the kinds of errors made by poor implementations of machine learning.
1 Artificial intelligence and behavioral economics . Colin F. Camerer . Caltech . camerer@caltech.edu. 12/21/17 PST. For NBER volume (Editors A. Agarwal, J. …
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
Artificial intelligence and machine learning, Artificial intelligence and machine learning in financial services, Artificial Intelligence Technology Strategy, Artificial Intelligence, Machine learning, Learning, Information Technology and Artificial Intelligence, THE ETHICS OF ARTIFICIAL INTELLIGENCE, Big Data, Analytics & Artificial Intelligence, Artificial Intelligence and the Modern Productivity, Artificial Intelligence and its Application, Artificial