人工智能的安全监管是怎样的？
当前，生成式人工智能在发展过程中面临着多个挑战。首先，模型可能反映和放大训练数据中的偏见和歧视，导致不公平或有偏见的结果。其次，生成式模型通常被认为是黑盒模型，缺乏透明度和解释性，难以理解其决策过程。知识产权和数据隐私问题涉及对版权保护信息的使用。此外，生成式人工智能技术有可能被滥用，用于制造虚假信息、深度伪造和其他恶意用途。因此，应用程序的决策过程应易于理解，应用程序的目标应向运营商和最终用户明确披露，并且尊重个人隐私。必须制定道德准则和治理结构，以减轻潜在危害并确保技术进步与负责任的使用相平衡。必须解决版权归属问题，以便人工智能设计师、训练数据的创建者和应用程序使用说明的作者得到适当认可。
国家网信办联合国家发展改革委等七部门于2023年7月10日颁布了《生成式人工智能服务管理暂行办法》，从法律基础、技术发展与治理、服务规范、监督检查和法律责任等多个方面提出了一系列治理方法。在技术发展方面，鼓励生成式人工智能技术创新发展，构建应用生态体系，并支持国际交流与合作。在服务规范方面，强调遵守法律、尊重社会公德，不得生成违法内容，并要求在技术开发过程中采取措施防止歧视。监督检查和法律责任方面，各部门加强管理，生成式人工智能服务提供者应配合监督检查，对违法行为进行处理。 数字化转型网www.szhzxw.cn
数字化转型网人工智能专题
与全球关注人工智能的顶尖精英一起学习！数字化转型网建立了一个专门讨论人工智能技术、产业、学术的研究学习社区，与各位研习社同学一起成长！欢迎扫码加入！ 数字化转型网www.szhzxw.cn
本文由数字化转型网（www.szhzxw.cn）转载而成，来源于网络；编辑/翻译：数字化转型网宁檬树。
翻译：
What is the safety regulation of artificial intelligence?
At present, generative artificial intelligence is facing several challenges in its development. First, the model may reflect and amplify biases and discrimination in the training data, leading to unfair or biased results. Second, generative models are often considered black box models that lack transparency and interpretation, making it difficult to understand their decision-making processes. Intellectual property and data privacy concerns the use of copyrighted information. In addition, generative AI technology has the potential to be misused for creating disinformation, deep fakes, and other malicious purposes. Therefore, the decision-making process of the application should be easy to understand, the objectives of the application should be clearly disclosed to the operator and the end user, and the privacy of the individual should be respected. Ethical guidelines and governance structures must be put in place to mitigate potential harms and ensure that technological advances are balanced with responsible use. Copyright attribution issues must be addressed so that AI designers, creators of training data, and authors of application usage instructions are properly recognized.
The CAC, together with the National Development and Reform Commission and other seven departments, issued the Interim Measures for the Management of Generative Artificial Intelligence Services on July 10, 2023, putting forward a series of governance methods from the legal basis, technological development and governance, service norms, supervision and inspection, and legal responsibilities. In terms of technological development, it encourages the innovation and development of generative artificial intelligence technology, builds an application ecosystem, and supports international exchanges and cooperation. In terms of service norms, it emphasizes compliance with the law and respect for social ethics, shall not generate illegal content, and requires measures to prevent discrimination in the process of technology development. In terms of supervision, inspection and legal responsibility, all departments should strengthen management, and generative artificial intelligence service providers should cooperate with supervision and inspection to deal with illegal acts.
