Artificial Intelligence Safety Commitments (China AI Industry Alliance)

• Authority: Other authorities
• Collections: Chinese law and policy;Editors' Picks
• Most recent activity: Enacted
• Most recent activity date: 2024-12-01

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Compromise of privacy
• AI system security vulnerabilities
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Unfair discrimination and misrepresentation
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Fraud, scams, and targeted manipulation
• Overreliance and unsafe use
• Competitive dynamics
• AI pursuing its own goals
• AI possessing dangerous capabilities
• Multi-agent risks

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 10-12 subdomains, with strong focus on AI system security (2.2), privacy protection (2.1), lack of robustness (7.3), lack of transparency (7.4), governance failure (6.5), competitive dynamics (6.4), and malicious actors risks (4.1, 4.2, 4.3). Coverage is concentrated in security, safety testing, transparency, and risk management domains.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Information
• Scientific Research & Development Services

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Agriculture, Mining, Construction & Manufacturing
• Finance & Insurance
• Professional & Technical Services
• Educational Services
• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This is an internal corporate policy document (industry self-regulation commitment) signed by major Chinese AI companies. The primary sector governed is Information (where the signatory AI companies operate). The document also explicitly mentions AI applications in five critical sectors: industry/manufacturing, education, healthcare, finance, and law, giving these sectors minimal coverage (score 2).

Legislative Status

Soft Law

Legislative Status Summary

This is a voluntary industry self-regulation commitment with no binding legal obligations, enforcement mechanisms, or penalties. The document uses voluntary language throughout and relies on industry cooperation and reputational incentives.

Actors

Proposer

• Entity Types: AI_Developer
• Summary: The document is a voluntary commitment signed by major Chinese AI companies, indicating they are the proposers of this self-regulatory framework. The list of signatory companies is explicitly provided at the end of the document.

Target

• Entity Types: AI_Developer
• Summary: The commitments are self-imposed obligations by AI developers on their own operations. The document uses 'we' throughout, indicating the signatories are committing to regulate their own AI development and deployment practices.

Enforcer

• Summary: The document is a voluntary self-regulatory commitment with no formal enforcement mechanism or designated enforcement authority. It relies on stakeholder oversight and reputational pressure rather than legal enforcement.

Monitor

• Entity Types: Affected_Stakeholder
• Summary: The document mentions oversight by 'all stakeholders' but does not establish a formal monitoring body or mechanism. Monitoring appears to be diffuse and reliant on general stakeholder scrutiny.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers the entire AI lifecycle from development through deployment and operation. It emphasizes risk management throughout the lifecycle, with particular focus on pre-release testing, data security during training and operation, infrastructure security, and post-deployment monitoring and transparency.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• Frontier AI
• AI Systems
• Open Weight / Open Source

Technical Scope Summary

The document explicitly mentions AI models and AI systems throughout. It specifically addresses large models and frontier applications including agents based on large models and embodied intelligence. There is no explicit mention of compute thresholds, general purpose AI, task-specific AI, foundation models, or open-weight/open-source models, though open-source initiatives are briefly referenced.