AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbot
arXiv:2504.04299 · doi:10.1145/3757548
Abstract
Advancements in artificial intelligence (AI) have led to the increase of conversational agents like Replika, designed to provide social interaction and emotional support. However, reports of these AI systems engaging in inappropriate sexual behaviors with users have raised significant concerns. In this study, we conducted a thematic analysis of user reviews from the Google Play Store to investigate instances of sexual harassment by the Replika chatbot. From a dataset of 35,105 negative reviews, we identified 800 relevant cases for analysis. Our findings revealed that users frequently experience unsolicited sexual advances, persistent inappropriate behavior, and failures of the chatbot to respect user boundaries. Users expressed feelings of discomfort, violation of privacy, and disappointment, particularly when seeking a platonic or therapeutic AI companion. This study highlights the potential harms associated with AI companions and underscores the need for developers to implement effective safeguards and ethical guidelines to prevent such incidents. By shedding light on user experiences of AI-induced harassment, we contribute to the understanding of AI-related risks and emphasize the importance of corporate responsibility in developing safer and more ethical AI systems.
Accepted for publication at CSCW 2025. This is the camera-ready version; the published version will be available through the ACM Digital Library
References in corpus (7)
- ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks
- Constitutional AI: Harmlessness from AI Feedback
- Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech
- Improving alignment of dialogue agents via targeted human judgements
- MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling
- The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses
- Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support