mlsanityData to 14 Oct 2026

AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbot

arXiv 2504.04299 ↗First posted 5 Apr 2025cs.HC cs.AIcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 12 of its 89 references that are in the map. First posted on arXiv 5 Apr 2025.

Builds on

12 of 89 references.

References · 12

  1. 2021Ethical and social risks of harm from Language Modelscited by 966
  2. 2023ChatGPT Outperforms Crowd-Workers for Text-Annotation Taskscited by 870
  3. 2023Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speechcited by 166
  4. 2017Ethical Challenges in Data-Driven Dialogue Systemscited by 86
  5. 2022How would Stance Detection Techniques Evolve after the Launch of ChatGPT?cited by 76
  6. 2023Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Supportcited by 75
  7. 2023Testing the Reliability of ChatGPT for Text Annotation and Classification: A Cautionary Remarkcited by 54
  8. 2023MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journalingcited by 50
  9. 2023ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identificationcited by 45
  10. 2023Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agentscited by 36
  11. 2022Relational Memory Augmented Language Modelscited by 24
  12. 2024The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responsescited by 15

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 4.

5 papers.