CAIHU 2025: Insights from behavioral experiments on conformity in human-AI collaboration

AAAI is another conference that I have always fancied going to. I am so lucky to have finally attended that conference this year. It has been a wonderful experience for me.

The poster I presented at the CAIHu Bridge Program at AAAI-25

For a copy of relevant materials (e.g., presentation, paper) or any questions you may have, please feel free to reach out to me through the Contact Me gadget on this blog's sidebar.

Details

Title: Insights from behavioral experiments on conformity in human-AI collaboration

Authors: May Kristine Jonson Carlon, Julian Matthews, Yasuo Kuniyoshi

Venue: Collaborative AI and Modeling of Humans, The 39th Annual AAAI Conference on Artificial Intelligence

Date: February 25, 2025

Abstract

Traditional automated systems relied on paradigms where machines often played leader-like roles in decision-making. With the recent advancements in artificial intelligence (AI) coming into play, the need for greater human oversight, particularly in knowledge-intensive tasks where AI's complex and often opaque nature, leads to calls for more human-centric approaches. While justified, this shift can lead to inefficiencies—such as underutilizing AI expertise in areas of its strength or human errors when over-relying on flawed guidance. This study examines group decision-making in mixed human-AI settings, focusing on the interplay of perceived competence, group dynamics, and dissent. Using group dynamics experiments previously shown to elicit conformity to the majority, we will explore how dissent from humans or AI influences group decision outcomes. By uncovering the mechanisms behind conformity and dissent, this research aims to inform the design of systems that balance trust in AI with independent human judgment, facilitating effective collaboration.