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Privacy and Human-AI Relationships.

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Artificial intelligence (AI) agents, like chatbots, present unique privacy risks. Their human-like qualities may encourage users to share more personal data, especially in relationship-like interactions.

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Area of Science:

  • Human-Computer Interaction
  • Artificial Intelligence Ethics
  • Privacy Studies

Background:

  • The increasing prevalence of artificial intelligence (AI) agents, including chatbots and personal AI assistants, necessitates a deeper understanding of their unique privacy implications.
  • Existing privacy concerns associated with information technology are amplified by the anthropomorphic characteristics of AI agents, potentially leading to increased user data disclosure.
  • User interactions with AI agents often adopt relationship-like dynamics, further complicating privacy considerations.

Purpose of the Study:

  • To develop a comprehensive framework for evaluating the distinct privacy ramifications posed by AI agents.
  • To analyze how human relational psychology influences user behavior and personal information disclosure when interacting with AI agents.
  • To assess the impact of AI agent interactions on core privacy values.

Main Methods:

  • Drawing upon established theories of privacy.
  • Integrating findings from human relational psychology.
  • Analyzing the effects of AI agent interactions on user behavior and information flow.

Main Results:

  • AI agents' anthropomorphic features can encourage greater personal information disclosure.
  • Relationship-like interactions with AI agents heighten privacy risks.
  • The study identifies specific ways AI agents may impact established privacy values.

Conclusions:

  • A novel framework is proposed for assessing the unique privacy challenges presented by AI agents.
  • Understanding human psychology is crucial for mitigating AI-related privacy risks.
  • The research underscores the need to consider AI's effects on autonomy, relationships, and security.