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Addressing Autonomy Risks in Generative Chatbots with the Socratic Method.

Wencheng Lu1, Zhenni Hu2

  • 1School of Humanities, Southeast University, No.2, SEU Road, Nanjing, 211189, China. wench_lu@seu.edu.cn.

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Summary
This summary is machine-generated.

This study introduces SocrAI, a chatbot using the Socratic method to address autonomy risks like false mental states and cognitive deskilling in generative AI. SocrAI aims to enhance human agency and critical thinking in AI interactions.

Keywords:
AutonomyChatbotGenerative AIHuman agencyThe Socratic method

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Area of Science:

  • Artificial Intelligence Ethics
  • Human-Computer Interaction
  • Cognitive Science

Background:

  • Autonomy is a core ethical principle in AI ethics.
  • Existing research on AI autonomy risks primarily addresses recommendation and decision-making systems.
  • Systematic analysis of autonomy issues in generative AI, like chatbots, is limited.

Purpose of the Study:

  • To analyze autonomy risks posed by generative AI chatbots.
  • To propose a Socratic method-based chatbot (SocrAI) as a mitigation strategy.
  • To assess the feasibility of using the Socratic method to support user autonomy in AI interactions.

Main Methods:

  • Identification of two primary autonomy risks: false mental states and cognitive deskilling.
  • Examination of the underlying causes of these risks.
  • Proposal and conceptualization of SocrAI, a chatbot employing the Socratic method.

Main Results:

  • Generative chatbots present unique autonomy risks, including false mental states and cognitive deskilling.
  • The Socratic method is identified as a plausible strategy for mitigating these risks.
  • SocrAI is proposed as a feasible implementation to preserve and support user autonomy.

Conclusions:

  • SocrAI offers a novel approach to strengthen human agency in the age of AI.
  • The chatbot encourages users to engage actively in inquiry, fostering self-initiation.
  • Future work should focus on the prospective implementation and evaluation of SocrAI.