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引用次数: 0
摘要
创造力是人类智慧的标志。Roli 等人(Frontiers in Ecology and Evolution 9:806283, 2022)指出,算法无法实现人类的创造力。本文分析了人类与智能算法工具之间的合作,以弥补算法有限的创造力。智能工具具有来自大脑新皮层的功能,新皮层是大脑的学习、推理、规划和语言中心。这项分析为人类与工具合作解决挑战性问题提供了四个重要启示。首先,没有感情的基于新皮质的工具无法实现人类的创造力。其次,探索用户以感觉为导向的创造力的互动工具可以提高解决复杂问题的能力。第三,用户主导的归纳推理包含了人类的创造力,对人类工具合作解决问题至关重要。第四,尽管利益相关者必须对工具答案的负面影响承担道德责任,但仍有必要向工具传授道德价值观,以生成值得信赖的答案。分析得出的结论是,科学界应该创造基于新皮质的工具,以增强人类的创造力,提高解决问题的能力,而不是创造独立但创造力较弱的自主算法实体来解决问题。
Creativity is the hallmark of human intelligence. Roli et al. (Frontiers in Ecology and Evolution 9:806283, 2022) state that algorithms cannot achieve human creativity. This paper analyzes cooperation between humans and intelligent algorithmic tools to compensate for algorithms’ limited creativity. The intelligent tools have functionality from the neocortex, the brain’s center for learning, reasoning, planning, and language. The analysis provides four key insights about human-tool cooperation to solve challenging problems. First, no neocortex-based tool without feelings can achieve human creativity. Second, an interactive tool exploring users’ feeling-guided creativity enhances the ability to solve complex problems. Third, user-led abductive reasoning incorporating human creativity is essential to human-tool cooperative problem-solving. Fourth, although stakeholders must take moral responsibility for the adverse impact of tool answers, it is still essential to teach tools moral values to generate trustworthy answers. The analysis concludes that the scientific community should create neocortex-based tools to augment human creativity and enhance problem-solving rather than creating autonomous algorithmic entities with independent but less creative problem-solving.
期刊介绍:
Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science.
Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios.
By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.