智能体式对话AI是否应改变我们对伦理的思考方式？刻画以尊重为核心的互动伦理
Should agentic conversational AI change how we think about ethics? Characterising an interactional ethics centred on respect
AI总结：
针对现有LLM对话智能体伦理研究仅关注语义层面HHH准则的不足，提出以关系和情境因素为核心的互动伦理，探讨系统作为社会参与者的尊重内涵，预判互动风险并给出实用建议。
摘要：
随着基于大语言模型（LLMs）的对话智能体日益普及，我们需要确保其行为合乎伦理且恰当。该领域的研究主要围绕“HHH”准则展开：提升输出的有用性与诚实性，避免有害（带偏见、有毒或不准确）的表述。尽管这种语义层面的关注在将LLM智能体仅视为媒介或输出生成系统时颇具价值，但它未能考虑语用因素——同一言语行为在不同社交情境中可能显得更不得体或更不体谅他人。随着智能体式AI的推进（这类系统在追求目标和执行现实行动方面愈发主动），考量互动的语用层面变得至关重要。我们提出一种以关系和情境因素为核心的互动伦理方法，探讨作为社会参与者的系统在（一系列）互动中尊重对待个体的内涵。本研究预判了一系列在情境化社会互动层面尚未被充分探索的风险，并为智能体式LLM技术善待人类提供了实用建议。
英文摘要：
With the growing popularity of conversational agents based on large language models (LLMs), we need to ensure their behaviour is ethical and appropriate. Work in this area largely centres around the 'HHH' criteria: making outputs more helpful and honest, and avoiding harmful (biased, toxic, or inaccurate) statements. Whilst this semantic focus is useful when viewing LLM agents as mere mediums or output-generating systems, it fails to account for pragmatic factors that can make the same speech act seem more or less tactless or inconsiderate in different social situations. With the push towards agentic AI, wherein systems become increasingly proactive in chasing goals and performing actions in the world, considering the pragmatics of interaction becomes essential. We propose an interactional approach to ethics that is centred on relational and situational factors. We explore what it means for a system, as a social actor, to treat an individual respectfully in a (series of) interaction(s). Our work anticipates a set of largely unexplored risks at the level of situated social interaction, and offers practical suggestions to help agentic LLM technologies treat people well.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
