Publications

Useful social science theories predict behavior across settings. However, applying a theory to make predictions in new settings is challenging: rarely can it be done without ad hoc modifications to account for setting-specific factors. We argue that AI agents put in simulations of those novel settings offer an alternative for applying theory, requiring minimal or no modifications.

Abigail Sussman

Yujin Yang

This paper finds that people rely on a competence-judgment tradeoff to choose between human and AI advisors, evaluating whether the benefit of expertise outweighs the cost of social judgment.

Michelle Vaccaro

Michael Caosun

Jared R. Curhan

This research reveals that principles from human negotiation theory remain crucial even in AI–AI contexts and that AI-specific technical strategies also create success. The results suggest the need to establish a new theory of AI negotiation that integrates classic negotiation theory with AI-specific negotiation theories to better understand autonomous negotiations and optimize agent performance.

John Fallon | Boston University

This paper explores whether human intermediaries add value when employers already have access to algorithmic screening tools.

P. Alex Dow | Microsoft Research

In this paper, the research team presents results from what they believe is the first ever field experiment to randomize the introduction of a reputation system into a massive online marketplace.

William D. Oliver, et al.

Edited by Elisabeth B. Reynolds