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Reconstructing Human-AI Interaction Paradigm: From Binary Opposition to Multidimensional Symbiosis

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Abstract: This study focuses on the fundamental transformation of human-machine relationships in the AI era, proposing a multidimensional intelligence symbiosis theoretical framework that transcends traditional binary thinking. Based on cutting-edge theories such as quantum consciousness theory and integrated information theory, the study systematically analyzes the complementary characteristics between human intelligence and AI in cognitive patterns, decision-making mechanisms, and innovative capabilities. The research finds that: (1) The relationship between human intelligence and AI has transcended simple instrumental relationships, exhibiting unique symbiotic characteristics; (2) The two forms of intelligence demonstrate significant complementary value in pattern recognition, decision-making mechanisms, and innovative thinking; (3) Achieving multidimensional intelligence symbiosis requires systematic reconstruction across multiple dimensions, including educational systems, workplaces, social governance, and legal frameworks. The study proposes practical pathways based on multidimensional intelligence symbiosis theory, providing theoretical guidance and practical references for constructing a new harmonious human-AI relationship.
  • From: 陈东
  • Subject: Law >> Legal AI Management Science >> Sustainable Development Management
  • Comments: 本研究聚焦于人工智能时代人机关系的根本性变革,提出了突破传统二元对立思维的多维智慧共生理论框架。研究基于量子意识理论、整合信息理论等前沿理论基础,探讨了人类智慧与AI在认知模式、决策机制和创新能力等方面的互补性特征。研究发现:(1)人类智慧与AI的关系已超越简单的工具性关系,呈现出独特的共生特征;(2)两种智慧形态在模式识别、决策机制和创新思维等维度展现出显著的互补价值;(3)实现多维智慧共生需要在教育体系、工作场所、社会治理、法律框架等多个维度进行系统性重构。基于前述发现和认识,研究提出了基于多维智慧共生理论的实践路径,为构建人类与AI和谐共生的新型关系提供了理论指导和实践参考。
  • Contribution: No Submitted
  • Cite as: ChinaXiv:202412.00318 (or this version ChinaXiv:202412.00318V1)
    DOI:10.12074/202412.00318
    CSTR:32003.36.ChinaXiv.202412.00318
  • TXID: 275b5cb2-4da3-4855-9632-1440028daed0
  • Recommended references: 陈东,黄亮.人类智慧与AI互动范式重构:从二元对立到多维共生.null.[DOI:10.12074/202412.00318] (Click&Copy)

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[V1] 2024-12-24 13:20:50 ChinaXiv:202412.00318V1 Download
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