美国众议员 Adam Schiff 近日提出了一项具有里程碑意义的法案，旨在加强人工智能（AI）行业的版权保护。该法案被称为《生成式 AI 版权披露法案》，要求AI公司公开其模型训练过程中使用的所有受版权保护的数据详情。据 Billboard 报道，如果该法案获得通过，AI企业将被法律强制要求在向消费者推出新模型或更新现有模型前30天，向美国版权局提供一份详尽的训练数据集中受版权保护作品的清单。
此法案不仅针对未来的新模型，还对已经发布和正在运行的AI系统具有追溯效力。当AI模型的训练数据集发生重大改变时，相关企业也需及时向版权局更新这一清单，以确保版权信息的及时性和透明度。此举旨在保护艺术家和创作者的权益，防止他们的作品在未经许可的情况下被用于训练AI模型，同时也为消费者提供了关于AI决策过程的更多透明度。
该法案的提出，反映出在AI技术迅速发展的同时，立法者正努力在创新与版权保护之间寻找平衡。如果通过，这将对AI行业产生深远影响，促进企业在使用版权内容时更加谨慎，并可能推动整个行业对训练数据的合法性和伦理性的关注。来源：IT之家。
英语如下：
News Title: “US Lawmaker Proposes Bill: AI Companies Must Disclose Copyrighted Training Data, Failing Which Could Result in Penalties”
Keywords: AI Bill, Copyright Disclosure, Economic Penalties
News Content: U.S. Representative Adam Schiff recently introduced a groundbreaking bill aimed at bolstering copyright protection in the artificial intelligence (AI) industry. Dubbed the “Generative AI Copyright Disclosure Act,” the legislation would require AI companies to disclose all copyrighted data used in their models’ training processes. According to Billboard, if enacted, the bill would legally oblige AI firms to provide the U.S. Copyright Office with a comprehensive list of copyrighted works within their training datasets 30 days prior to launching new models or updating existing ones.
This bill not only applies to future models but also has retroactive effects on already released and operational AI systems. In cases where the training dataset undergoes significant changes, companies would be required to promptly update the copyright registry with the Copyright Office to maintain the timeliness and transparency of copyright information. The objective is to safeguard the rights of artists and creators, preventing their works from being utilized in AI training without permission, and to offer consumers greater transparency into AI decision-making processes.
The proposal reflects lawmakers’ efforts to strike a balance between innovation and copyright protection as AI technology advances rapidly. Should it pass, the bill would have far-reaching implications for the AI industry, encouraging companies to exercise greater caution when using copyrighted content and potentially prompting broader industry attention to the legitimacy and ethics of training data. Source: IT Home.
【来源】https://www.ithome.com/0/761/336.htm
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