Published: 21 March 2024
在后ChatGPT时代，企业机构必须面对生成式人工智能（GenAI）对知识产权的影响，既要尊重他人知识产权，也要保护和发展自身的知识产权。本文探讨了相关影响，并为IT领导者提供了应对未来挑战的策略。
影响1：尊重他人的知识产权。使用GenAI服务的企业机构通常对所使用的训练数据缺乏了解和控制，因此可能会无意中从他人的知识产权中获益，从而导致面临诉讼。
影响2：保护自己的知识产权。用户在进行提示输入时会将信息提供给GenAI服务，并且在某些情况下相关数据会被添加到模型或方法中，导致用户企业机构的知识产权有可能被共享。
影响3：开发新的知识产权。GenAI服务的用户能够更低成本地为其业务创建工件（如内容和数据）和流程，但这样做可能会削弱对所创建新工件知识产权的诉求。
在使用GenAI服务时深思熟虑，尊重他人的知识产权。要考虑待创建知识产权的预期目的，其中隐含了对模型架构、训练（数据）和监控措施的要求。如果对模型架构、训练数据或对AI模型的监控缺乏控制权（例如，属于供应商或第三方），请坚持获取对训练数据溯源的保证；如果没有这些保证，请寻求潜在的替代方案。
创建安全的管道保护自己的知识产权，但不要期望有“准备就绪”的解决方案。虽然安全供应商正在改进其GenAI产品，但企业机构用户可能还需要其他特定于基础模型的信任、风险和安全管理（TriSM）解决方案。
利用GenAI开发知识产权，将其纳入更广泛的开发进程，而不是将GenAI作为一个独立的知识产权生成器。多数企业应该放弃幻想，不要奢求“按下按钮”就能开发出有价值、防御性强的知识产权。
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Analysts:
Anthony Mullen, Andrew Frank, Bart Willemsen, Avivah Litan, Gabriele Rigon, Alan Antin
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