把AI当学习伙伴,让人类与AI共同成长。
Shifting the Human-AI Relationship: Toward a Dynamic Relational Learning-Partner Model
- 将AI视为动态学习伙伴,通过互动反馈持续进化
- 提出‘第三心智’概念,实现人机协同智能跃迁
- 适合关注人机共生、伦理设计的研究者
随着人工智能不断发展,将其视为被动工具的模式已不适用。我们主张将AI视为学习伙伴,如同学生通过与人类互动学习。基于生态算法、混沌中秩序及合作等跨学科理念,探索AI在不可预测环境中的演化与适应机制。由此提出两项建议:(1) 建立伦理化、协作型的人机关系,使双方受益;(2) 利用人类与AI认知差异,构建协同的混合智能。通过交互式学习、对话复盘等设计干预,以及让AI建模多种心智类型的底层支持,推动形成动态关系学习伙伴(DRLP)模型。该模型下AI与人类共同成长,从团队对话反思中持续学习。基于超越个体意识的相互依存视角,我们提出协同关系中将涌现‘第三心智’。若谨慎实施,这一模型可提升应对复杂难题的能力。
原文摘要 · Abstract (English)
As artificial intelligence (AI) continues to evolve, the current paradigm of treating AI as a passive tool no longer suffices. As a human-AI team, we together advocate for a shift toward viewing AI as a learning partner, akin to a student who learns from interactions with humans. Drawing from interdisciplinary concepts such as ecorithms, order from chaos, and cooperation, we explore how AI can evolve and adapt in unpredictable environments. Arising from these brief explorations, we present two key recommendations: (1) foster ethical, cooperative treatment of AI to benefit both humans and AI, and (2) leverage the inherent heterogeneity between human and AI minds to create a synergistic hybrid intelligence. By reframing AI as a dynamic partner, a model emerges in which AI systems develop alongside humans, learning from human interactions and feedback loops including reflections on team conversations. Drawing from a transpersonal and interdependent approach to consciousness, we suggest that a "third mind" emerges through collaborative human-AI relationships. Through design interventions such as interactive learning and conversational debriefing and foundational interventions allowing AI to model multiple types of minds, we hope to provide a path toward more adaptive, ethical, and emotionally healthy human-AI relationships. We believe this dynamic relational learning-partner (DRLP) model for human-AI teaming, if enacted carefully, will improve our capacity to address powerful solutions to seemingly intractable problems.
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