从生成内容到真正创新，提出AI进化的路线图。
From Generative AI to Innovative AI: An Evolutionary Roadmap
- 区分生成式AI与创新性AI，强调突破数据复制的局限
- 提出支持自主问题求解与创意构思的AI发展框架
- 适合关注AI未来方向的研究者与开发者参考
本文探讨了从生成式人工智能（GenAI）向创新性人工智能（InAI）演进的关键转变。尽管当前GenAI在多个领域已能生成高质量内容，但其往往缺乏真正的创新能力。本文将创新定义为生成新颖且有用输出的能力，超越对已有数据的简单复现。论文分析了这一转型路径，提出了实现具备自主问题求解与创造性思维能力的AI系统的理论框架与实践策略，旨在推动AI在科学、技术与艺术领域实现真正意义上的贡献。
原文摘要 · Abstract (English)
This paper explores the critical transition from Generative Artificial Intelligence (GenAI) to Innovative Artificial Intelligence (InAI). While recent advancements in GenAI have enabled systems to produce high-quality content across various domains, these models often lack the capacity for true innovation. In this context, innovation is defined as the ability to generate novel and useful outputs that go beyond mere replication of learned data. The paper examines this shift and proposes a roadmap for developing AI systems that can generate content and engage in autonomous problem-solving and creative ideation. The work provides both theoretical insights and practical strategies for advancing AI to a stage where it can genuinely innovate, contributing meaningfully to science, technology, and the arts.
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