分析1006篇AI论文如何引用心理学，揭示跨学科合作的误区与改进方向。
The Incomplete Bridge: How AI Research (Mis)Engages with Psychology
- 分析2023–2025年1006篇顶会AI论文对心理学文献的引用模式。
- 发现心理学理论常被误用，尤其在认知机制解释上存在偏差。
- 为AI研究者提供更科学地融合心理学的实践建议，适合跨学科研究者参考。
社会科学研究积累了丰富的关于人类心智与行为的理论与方法，为人工智能系统的设计与理解提供了宝贵洞见。本文以心理学为例，通过分析2023至2025年间发表于顶级人工智能会议的1,006篇大语言模型相关论文及其引用的2,544篇心理学文献，探讨了人工智能与心理学之间的跨学科协同。研究识别出关键的交叉模式，定位了最常被引用的心理学领域，并指出了仍被忽视的研究方向。进一步考察了心理学理论在实际研究中的操作化方式与解读逻辑，揭示了常见的误用类型，并提出更具实效性的整合路径。本研究构建了人工智能与心理学之间跨学科互动的全景图，旨在推动更深入的合作，促进人工智能系统的进步。
原文摘要 · Abstract (English)
Social sciences have accumulated a rich body of theories and methodologies for investigating the human mind and behaviors, while offering valuable insights into the design and understanding of Artificial Intelligence (AI) systems. Focusing on psychology as a prominent case, this study explores the interdisciplinary synergy between AI and the field by analyzing 1,006 LLM-related papers published in premier AI venues between 2023 and 2025, along with the 2,544 psychology publications they cite. Through our analysis, we identify key patterns of interdisciplinary integration, locate the psychology domains most frequently referenced, and highlight areas that remain underexplored. We further examine how psychology theories/frameworks are operationalized and interpreted, identify common types of misapplication, and offer guidance for more effective incorporation. Our work provides a comprehensive map of interdisciplinary engagement between AI and psychology, thereby facilitating deeper collaboration and advancing AI systems.
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