提出三维度框架，平衡人机共创中的控制权分配。
MOSAAIC: Managing Optimization towards Shared Autonomy, Authority, and Initiative in Co-creation
- 从自主、主动、权威三维度定义控制权
- 基于172篇文献构建可量化的人机协作框架
- 适用于艺术设计与AI协同创作场景
在计算创造力领域，如何恰当地平衡人类与协作型AI的关系仍是一个开放问题。协同创造是一种混合智能形式，人类与AI均能主动采取行动，共同生成创意成果。实现协同创造的动态平衡，需明确控制权的内涵并制定分配策略。本文将控制定义为决定、发起和引导协同创造过程的能力。基于对172篇完整论文的系统性文献综述，提出MOSAAIC（Managing Optimization towards Shared Autonomy, Authority, and Initiative in Co-creation）框架，用于刻画与调节协同创造中的控制权。该框架识别出控制的三个核心维度：自主性、主动性与权威性，并配套提供控制优化策略。为验证其适用性，我们分析了六个现有协同创造AI案例中的控制分布，并探讨该框架的应用意义。
原文摘要 · Abstract (English)
Striking the appropriate balance between humans and co-creative AI is an open research question in computational creativity. Co-creativity, a form of hybrid intelligence where both humans and AI take action proactively, is a process that leads to shared creative artifacts and ideas. Achieving a balanced dynamic in co-creativity requires characterizing control and identifying strategies to distribute control between humans and AI. We define control as the power to determine, initiate, and direct the process of co-creation. Informed by a systematic literature review of 172 full-length papers, we introduce MOSAAIC (Managing Optimization towards Shared Autonomy, Authority, and Initiative in Co-creation), a novel framework for characterizing and balancing control in co-creation. MOSAAIC identifies three key dimensions of control: autonomy, initiative, and authority. We supplement our framework with control optimization strategies in co-creation. To demonstrate MOSAAIC's applicability, we analyze the distribution of control in six existing co-creative AI case studies and present the implications of using this framework.
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