Despite the documented benefits of algorithmic decision-making, individuals often prefer to retain control rather than delegate decisions to AI agents. To what extent are the aversion to and distrust of algorithms rooted in a fundamental discomfort with giving up decision authority? Using two...

This paper develops an axiomatic framework for decision making when preferences depend not only on the current alternative but also on the past frequency with which alternatives have been chosen. We identify key independence axioms that characterize frequency-dependent preferences. In addition,...

Advice plays a central role in health, personal finance, and energy-efficiency decisions. We study how a benevolent expert should design verifiable advice - such as whether to commission a diagnostic test of different accuracy - when the agent is behaviorally biased, either neglecting...