5 papers
Why They Disagree: Decoding Differences in Opinions about AI Risk on the Lex Fridman Podcast
Nghi Truong, Phanish Puranam, Özgecan Koçak
The emergence of transformative technologies often surfaces deep societal divisions, nowhere more evident than in contemporary debates about artificial intelligence (AI). A strikin…
Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4
Phanish Puranam, Prothit Sen, Maciej Workiewicz
This study investigates whether large language models, specifically GPT4, can match human capabilities in analogical reasoning within strategic decision making contexts. Using a no…
Why Trust in AI May Be Inevitable
Nghi Truong, Phanish Puranam, Ilia Testlin
In human-AI interactions, explanation is widely seen as necessary for enabling trust in AI systems. We argue that trust, however, may be a pre-requisite because explanation is some…
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving
Sanghyun Park, Boris Maciejovsky, Phanish Puranam
Complex problem-solving requires cognitive flexibility--the capacity to entertain multiple perspectives while preserving their distinctiveness. This flexibility replicates the "wis…
LLMs as mediators: Can they diagnose conflicts accurately?
Özgecan Koçak, Phanish Puranam, Afşar Yegin
Prior research indicates that to be able to mediate conflict, observers of disagreements between parties must be able to reliably distinguish the sources of their disagreement as s…