AI 中文总结
研究人工智能输出中拟人化行为，通过行为驱动分类法识别ChatGPT回复中关键形式，探讨其对人工智能系统多方面影响，为检测拟人化行为提供基础，助开发者和政策制定者平衡利弊。
AI 中文摘要
人工智能中的拟人化是一个日益受关注的领域，因为人工智能系统越来越多地展现出类人表达、行为和交互方式。本研究对人工智能输出中的拟人化行为进行系统观察和分类。拟人化行为指系统输出中有意或自然出现的类人表达或语言线索，如展现同理心。通过行为驱动的分类法，识别ChatGPT回复中拟人化行为的关键形式并探讨其对人工智能系统理论、实践和伦理的影响。该分类法能更细致地检测拟人化，为开发者和政策制定者平衡利弊提供价值，为未来相关研究奠定基础。
英文摘要
Anthropomorphism in artificial intelligence (AI) is a growing area of interest, as AI systems increasingly exhibit human-like expressions, behaviors and interaction styles. This research serves as a systematic observation and categorization of anthropomorphic behaviors in AI outputs. Anthropomorphic behavior refers to the deliberate or emergent manifestation of human-like expressions or linguistic cues in system outputs, such as demonstrating empathy. Using a behaviorally driven taxonomy, our study identifies key forms of anthropomorphic behaviors in the responses of ChatGPT and examines their implications for the theory, practice and ethics of AI systems. The taxonomy enables more nuanced detection of anthropomorphism, offering value to developers and policymakers in balancing the benefits with the potential risks. This work contributes to the academic discourse by providing a foundation for future efforts to refine, expand, and automate the detection of anthropomorphic behavior across diverse AI applications.
