CAAI Faculty Research Behavioral Science
AI is not only transforming technology but also offering profound insights into decision-making, habits, and social dynamics. This collection of research papers dive into how AI models and techniques are used to understand, predict, and influence behavior, as well as how behavioral science informs the design of ethical and effective AI systems.
Research and Working Papers
Human Bias in Algorithm Design
2023
Authored by Carey K. Morewedge,Sendhil Mullainathan,Cass R. Sunstein,Jon Kleinberg,Jens Ludwig,
Physiognomy in the Age of AI
2023
Authored by Alexander Todorov,
The Inversion Problem Why Algorithms Should Infer Mental State and Not Just Predict Behavior
2023
Authored by Jon Kleinberg,Jens Ludwig,Sendhil Mullainathan,
Algorithm-Mediated Social Learning in Online Social Networks
2023
Authored by Joshua Conrad Jackson,
Historical patterns of rice farming explain modern-day language use
2023
Authored by Thomas Talhelm,Lyle Ungar,
Profitability Context and the Cross-Section of Stock Returns
2023
Authored by Alex G. Kim,Valeri Nikolaev,
Exposure to Automation Explains Religious Declines
2023
Authored by Joshua Conrad Jackson,Adam Waytz,
Automating Automaticity
2023
Authored by Diag Davenport,Sendhil Mullainathan,Amanda Agan,Jens Ludwig,
A data-driven hyper-realistic method for visualizing individual mental representations of faces
2022
Authored by Alexander Todorov,
How AI + Behavior Impacts Our Feeds
Our friends, families, and communities all exist within an online space, but they do not so equally. Algorithms govern the content we see. How do they work?
How AI + Behavior Impacts Our Feeds
LLMs Across Industries: Recent Research on Large Language Models
With advancements in LLMs across industries, Booth faculty are key figures leading broader application of language models. We highlight a few recent studies.
LLMs Across Industries: Recent Research on Large Language Models
Conference on Labor in the Age of Generative AI
The arrival of ChatGPT marks the new era of Generative AI. The Center for Applied AI (CAAI) brought together leading scholars to share their most recent research on the impact of generative AI on the labor market. Several insights emerged.
Conference on Labor in the Age of Generative AI
Crafting the Future with Synthetic Data
Dr. Ryan Kappedal shared how synthetic data is transforming AI, drawing on his journey from Air Force Intelligence to advancing machine learning at Google.
Crafting the Future with Synthetic Data