ArticleslgStudy

biology

Interim Measures for the Management of Generative AI Services

Interim Measures for the Management of Generative AI Services is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Interim Measures for the Management of Generative AI Services rather than just read about it. In short: The Interim Measures for the Management of Generative AI Services (Chinese: 生成式人工智能服务管理暂行办法; pinyin: Shēngchéng shì réngōng zhìnéng fúwù guǎnlǐ zànxíng bànfǎ) are a set of measures introduced by China to regulate public-facing generative artificial intelligence within the country. The measures took effect on 15 August 2023.

Key takeaways

  • Interim Measures for the Management of Generative AI Services belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Interim Measures for the Management of Generative AI Services to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Interim Measures for the Management of Generative AI Services from memory before moving on to harder problems.

Reference excerpt

The Interim Measures for the Management of Generative AI Services (Chinese: 生成式人工智能服务管理暂行办法; pinyin: Shēngchéng shì réngōng zhìnéng fúwù guǎnlǐ zànxíng bànfǎ) are a set of measures introduced by China to regulate public-facing generative artificial intelligence within the country. The measures took effect on 15 August 2023. The measures were issued by the Cyberspace Administration of China, along with six other national regulators: the National Development and Reform Commission, the Ministry of Education, Ministry of Science and Technology, Ministry of Industry and Information Technology, Ministry of Public Security, and National Radio and Television Administration.

Articles

Section 1: General provisions Article 1 outlines the intention of the measures: promoting the healthy development and regulated usage of generative AI, while safeguarding national security, societal public interests, and the legal rights of citizens and organizations. Article 2 defines the scope of the measures as applying to public-facing generative AI services within the People's Republic of China. It exempts internal services by companies, research institutions, and other organizations that do not provide services to the domestic public. Article 3 sets out key principles that will guide the regulatory approach: equal emphasis on development and security, promoting innovation along with rule of law, and adopting inclusive prudence with classified supervision of generative AI services. Article 4 requires generative AI services to adhere to relevant laws and respect social morality. Adhering to the Core Socialist Values, they must not generate content that promotes overthrowing the socialist system, harms national security, or undermines social stability. They must not promote discrimination, terrorism, extremism, violence, obscenity, or false and harmful information prohibited by law. Models should be designed and trained to avoid discrimination or algorithmic bias. Services should respect intellectual property rights and business ethics. They must respect others' rights and avoid endangering the physical and mental health of others. Effective measures should be taken to improve the transparency and accuracy of generative AI services.

Section 2: Technology development and governance Article 5 encourages innovative application of generative AI across industries to create positive, healthy and high-quality content. It supports collaboration on AI innovation, data and application development. Article 6 promotes independent innovation in core AI technologies, infrastructure development, and data resource platforms. It encourages international cooperation, collaborative sharing of compute, expanding high-quality public training data sources, and the adoption of secure chips and resources. Article 7 mandates that providers employ effective measures to ensure that training data is high-quality, accurate, diverse, and legitimately sourced in a way that does not infringe upon intellectual property rights. If personal information is used, the users must provide consent. Article 8 requires providers to formulate clear, specific and operable data labeling rules in line with the measures. It mandates quality assessment, sampling verification, personnel training and supervision for labeling work.

Section 3: Service specifications Article 9 legally establishes providers as producers of online content and processors of personal data. Providers should sign service agreements with users to define rights and obligations. Article 10 mandates taking effective measures from excessive use by minors. Providers should clarify the appropriate use of their services to users and help users understand generative AI. Article 11 obligates providers to protect user privacy, minimize data collection and retention of personal information, and avoid illegally giving user information to others. Providers should accept user requests to review, copy, modify, or delete their personal information. Article 12 requires labeling synthesized pictures, videos and other generated content. Article 13 requires stable and continuous services for normal usage by users. Article 14 obligates providers to promptly address when a service generates illegal content or if it is used by users to engage in illegal activities. This may include halting generation, retraining a model, warning users, and reporting to a relevant authority. Article 15 mandates complaint and reporting mechanisms for public grievances with timely processing and feedback.

Section 4: Supervision, inspection, and legal liability Article 16 gives regulatory oversight roles to cybersecurity, technology, industry, education, public security and other relevant government bodies. Article 17 requires security assessments for services with public opinion influence, along with algorithm filing procedures. Article 18 allows users to complain to authorities about non-compliant services. Article 19 enables inspections of providers by officials, requiring cooperation and transparency. Article 20 allows the government to address foreign services that violate the measures. Article 21 defines the relevant authorities that may punish providers that violate the provisions. Crimes will be investigated according to law.

Section 5: Supplementary provisions Article 22 defines key terms such as generative AI, service providers, and service users. Article 23 requires obtaining relevant licenses to provide services where required by law. Article 24 establishes that the measures take effect on 15 August 2023.

See also Interim Measures for the Management of Anthropomorphic AI Interactive Services

References

External links Full text (in Chinese)

Worked examples

Example 1 — a first encounter with Interim Measures for the Management of Generative AI Services

Start with the simplest possible case. Write down what Interim Measures for the Management of Generative AI Services claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Interim Measures for the Management of Generative AI Services before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Interim Measures for the Management of Generative AI Services ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Interim Measures for the Management of Generative AI Services

In research
Interim Measures for the Management of Generative AI Services appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Interim Measures for the Management of Generative AI Services in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Interim Measures for the Management of Generative AI Services is common in secondary-school and first-year university syllabi. It links to neighbouring topics Generative AI, Law of the People's Republic of China, Regulation of artificial intelligence, so understanding it makes those chapters shorter.
In everyday life
Look for Interim Measures for the Management of Generative AI Services outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Interim Measures for the Management of Generative AI Services” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Interim Measures for the Management of Generative AI Services in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Interim Measures for the Management of Generative AI Services means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Interim Measures for the Management of Generative AI Services out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Interim Measures for the Management of Generative AI Services in simple terms?

The Interim Measures for the Management of Generative AI Services (Chinese: 生成式人工智能服务管理暂行办法; pinyin: Shēngchéng shì réngōng zhìnéng fúwù guǎnlǐ zànxíng bànfǎ) are a set of measures introduced by China to regulate public-facing generative artificial intelligence within the country. The measures took…

Why does Interim Measures for the Management of Generative AI Services matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Interim Measures for the Management of Generative AI Services?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Interim Measures for the Management of Generative AI Services.

Tags

  • Generative AI
  • Law of the People's Republic of China
  • Regulation of artificial intelligence

Keep exploring