7 papers
Bringing Everyone to the Table: An Experimental Study of LLM-Facilitated Group Decision Making
Mohammed Alsobay, David M. Rothschild, Jake M. Hofman +1
Group decision-making often suffers from uneven information sharing, hindering decision quality. While large language models (LLMs) have been widely studied as aids for individuals…
From Augmentation to Reconstruction: Guiding the AI Disruption to the Good Place
David M. Rothschild, Jake M. Hofman, Markus Mobius +5
Artificial intelligence feels omnipresent, yet the disruption many expect has not fully arrived. The main reason is not model capability, nor even the tools built to harness those…
Effects of Generative AI Errors on User Reliance Across Task Difficulty
Jacy Reese Anthis, Hannah Cha, Solon Barocas +2
The capabilities of artificial intelligence (AI) lie along a jagged frontier, where AI systems surprisingly fail on tasks that humans find easy and succeed on tasks that humans fin…
Agentic Markets: Equilibrium Effects of Improving Consumer Search
Brendan Lucier, Nicole Immorlica, Markus Mobius +5
Motivated by agentic markets -- two-sided markets in which consumers and businesses are assisted by AI tools that facilitate consumers' search -- we study the impact of improved se…
Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang +21
As LLM agents advance, they are increasingly mediating economic decisions, ranging from product discovery to transactions, on behalf of users. Such applications promise benefits bu…
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos +9
While large language models (LLMs) challenge conventional methods of teaching and learning, they present an exciting opportunity to improve efficiency and scale high-quality instru…