开源人工智能模型的法律治理

Legal Governance of Open-Source Artificial Intelligence Models

开源正在重塑产业格局并引领商业模式的创新,作为开源领域的新兴力量,人工智能正依托开源的资源汇聚能力和协同优势快速发展。然而,人工智能在开源环境下的健康有序发展仍面临诸多挑战,目前人工智能领域内的开源问题大都集中在开源人工智能模型。因此,需要在明确开源人工智能模型内涵和分类的基础上,审慎评估其正向价值和潜在风险。为构建科学严谨且适应时代发展的开源人工智能模型治理制度框架,我国应借鉴各国在开源人工智能模型治理方面的既有经验,支持开源有序发展、明确风险管理责任与义务、推进多元主体协同发展、制定负面清单、推动形成国际开源人工智能联盟,从而营造公正开放的开源生态,确保开源人工智能模型的发展始终沿着安全可控、合法合规的轨道前进。

Open source is reshaping the industrial landscape and leading the innovation of business models.As an emerging field,artificial intelligence(AI)is rapidly developing by leveraging the resource aggregation capabilities and collaborative advantages of open source.However,the healthy and orderly development of AI in an open-source environment still encounters numerous challenges.Currently,issues surrounding open-source within the AI domain predominantly revolve around open-source AI models.Therefore,it is imperative to carefully evaluate their positive value and potential risks based on a clear understanding of the connotation and classification of open source artificial intelligence models.To construct a scientific,rigorous,and adaptable governance framework for open-source AI models,China should draw upon the existing experiences of other countries in this domain.This includes supporting the orderly development of open source,clarifying risk management obligations,promoting collaboration among diverse stakeholders,formulating a negative list,and fostering the formation of an international open-source AI alliance,thereby creating a fair and open-source ecosystem,and ensuring that the evolution of open-source AI models always remains anchored on a safe,controllable,legal,and compliant track.