梳理AI安全标准国际趋势，推动可信发展
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
- 分析全球AI安全与可信性标准化进展
- 识别关键标准领域并提出未来策略
- 适合政策制定者与AI研发机构参考
过去十年间，人工智能在语言理解、图像视频识别、编程和科学推理等领域快速发展，基于大语言模型和基础模型的AI技术已接近或超越人工通用智能。这些系统在复杂问题求解、自然语言处理和多领域任务中表现优异，有望变革科学、工业、医疗和教育等领域。然而，其快速发展也引发对可控性、伦理冲突、长期社会经济影响及安全保证等方面的担忧。当前正致力于建立国际共识标准以确保AI的安全可靠。本文分析了先进AI安全与可信性标准化的国际趋势，识别关键标准化领域，提出未来发展方向与策略，并探讨政策启示。目标是通过有效标准化，支持先进AI的安全可信发展，提升国际竞争力。
原文摘要 · Abstract (English)
Artificial Intelligence (AI) has rapidly evolved over the past decade and has advanced in areas such as language comprehension, image and video recognition, programming, and scientific reasoning. Recent AI technologies based on large language models and foundation models are approaching or surpassing artificial general intelligence. These systems demonstrate superior performance in complex problem solving, natural language processing, and multi-domain tasks, and can potentially transform fields such as science, industry, healthcare, and education. However, these advancements have raised concerns regarding the safety and trustworthiness of advanced AI, including risks related to uncontrollability, ethical conflicts, long-term socioeconomic impacts, and safety assurance. Efforts are being expended to develop internationally agreed-upon standards to ensure the safety and reliability of AI. This study analyzes international trends in safety and trustworthiness standardization for advanced AI, identifies key areas for standardization, proposes future directions and strategies, and draws policy implications. The goal is to support the safe and trustworthy development of advanced AI and enhance international competitiveness through effective standardization.
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