人工智能的安全监管有哪些?

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。

翻译:

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.

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