重要他人AI：身份、记忆与情绪调节作为长期关系智能
Significant Other AI: Identity, Memory, and Emotional Regulation as Long-Term Relational Intelligence
AI总结：
本文提出SO-AI作为关系AI的新领域，旨在通过身份、记忆和情绪调节等功能，增强人与AI的长期关系稳定性。
摘要：
重要他人（SOs）稳定身份、调节情绪并支持叙述意义的构建，但许多人今天缺乏这样的关系锚点。近年来，大型语言模型和记忆增强型AI的进展引发了人工系统能否支持某些功能的问题。然而，现有的共情AI仍然反应性且短期，缺乏自传体记忆、身份建模、预测情绪调节和叙述连贯性。本文介绍了重要他人人工智能（SO-AI）作为关系AI的新领域。它综合了心理学和社会学理论来定义SO功能，并推导出SO-AI的要求，包括身份意识、长期记忆、主动支持、叙述共构以及伦理边界执行。提出了一个概念架构，包括拟人化界面、关系认知层和治理层。研究议程概述了评估身份稳定性、长期互动模式、叙述发展和社会文化影响的方法。SO-AI将AI与人类的关系重新定义为长期、具有身份的伙伴关系，并为探讨AI是否能负责任地增强许多个体所缺乏的关系稳定性提供了基础蓝图。
英文摘要：
Significant Others (SOs) stabilize identity, regulate emotion, and support narrative meaning-making, yet many people today lack access to such relational anchors. Recent advances in large language models and memory-augmented AI raise the question of whether artificial systems could support some of these functions. Existing empathic AIs, however, remain reactive and short-term, lacking autobiographical memory, identity modeling, predictive emotional regulation, and narrative coherence. This manuscript introduces Significant Other Artificial Intelligence (SO-AI) as a new domain of relational AI. It synthesizes psychological and sociological theory to define SO functions and derives requirements for SO-AI, including identity awareness, long-term memory, proactive support, narrative co-construction, and ethical boundary enforcement. A conceptual architecture is proposed, comprising an anthropomorphic interface, a relational cognition layer, and a governance layer. A research agenda outlines methods for evaluating identity stability, longitudinal interaction patterns, narrative development, and sociocultural impact. SO-AI reframes AI-human relationships as long-term, identity-bearing partnerships and provides a foundational blueprint for investigating whether AI can responsibly augment the relational stability many individuals lack today.
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。
