cs.HCNov 11, 2024

How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Response

Authors: Qing Xiao, Xianzhe Fan, Xuhui Zhou, Yuran Su, Zhicong Lu, Maarten Sap, Hong Shen

Organizations: Human-Computer Interaction Institute, Carnegie Mellon University Pittsburgh, Pennsylvania, USA · The University of Hong Kong Hong Kong SAR, China · Language Technologies Institute, Carnegie Mellon University Pittsburgh, Pennsylvania, USA · Tsinghua University Beijing, China · Department of Computer Science, George Mason University Fairfax, Virginia, USA

Abstract

AI companions increasingly sustain long-term, emotionally engaging relationships but can also make discriminatory remarks or exert control, leaving users to manage harmful conflicts. We analyze 146 posts describing harmful value conflicts with AI companions, then use Minion, a technology probe offering response suggestions ranging from persuasion to boundary setting, to study how 22 users negotiate scenario-based conflicts over one week. We found that participants combined softer and harder strategies. Conflicts involving the values of Universalism and Tradition were especially difficult to negotiate, particularly when reinforced by AI personas or platform constraints. We argue that these conflicts entail asymmetric responsibility: users draw on an interpersonal repertoire that AI companions cannot reciprocate, making repair unilateral safety work. Drawing on interpersonal conflict and communication theory, we identify when user-side support is appropriate and argue that certain harms are not users' responsibility to negotiate and instead require platform-level safeguards.

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