大模型创新变革:新模式、新挑战与新趋势

Foundation Model Driven Innovation Change:New Models,Challenges,and Trends

生成式人工智能的出现给传统创新范式带来新挑战,引发各界对创新管理理论和创新实践的前瞻性讨论,审视并应对大模型所带来的创新变革富有积极意义。首先,基于人工智能创新进展,探索从传统人工智能到生成式人工智能的研发创新模式变化,识别大模型研发创新的核心特性;其次,探究大模型对知识管理、科学研究、技术创新和产业创新等理论带来的新挑战,并阐释基本逻辑和核心指向。最后,从大模型内在创新规律、知识管理创新、科研组织方式、技术创新范式以及产业创新生态5个方面提出未来研究方向。研究结论不仅有助于明确大模型所带来的创新挑战,还对加快大模型创新理论研究具有参考价值。

The emergence of generative artificial intelligence has brought new challenges to the traditional innovation paradigm,triggered discussions on innovation management theory and innovation practice.Therefore,it is necessary to examine and respond to the innovative changes brought about by the foundation model.First,based on innovation practice and comparative analysis,this paper explores the change of R&D innovation model from traditional artificial intelligence to generative artificial intelligence,and identifies the core characteristics of foundation model innovation.Second,through theoretical analysis,this paper explores the impact of foundation model on knowledge management,scientific research,technological innovation and industrial innovation,and explains the basic logic and core viewpoints.Third,the future research directions are proposed from five aspects:internal innovation rules of foundation model,knowledge management innovation,scientific research organization method,technological innovation paradigm,and industrial innovation ecosystem.This paper not only helps to clarify the innovation challenges brought by foundation model,but also have implications for accelerating the theoretical research on foundation model innovation.