先进人工智能安全与可信技术的标准化趋势
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
AI总结：
本研究分析先进AI安全与可信性标准化的国际趋势，明确关键标准化领域，提出未来方向、策略及政策启示，以支撑先进AI安全可信发展、提升国际竞争力。
摘要：
过去十年间，人工智能（AI）发展迅猛，在语言理解、图像与视频识别、编程以及科学推理等领域取得了进展。近期基于大语言模型和基础模型的AI技术正接近甚至超越通用人工智能水平。这类系统在复杂问题求解、自然语言处理以及多领域任务中展现出卓越性能，有望变革科学、工业、医疗保健和教育等领域。然而，这些进展也引发了人们对先进AI安全与可信性的担忧，包括不可控性、伦理冲突、长期社会经济影响以及安全保障相关的风险。目前各方正致力于制定国际公认的标准，以确保AI的安全性与可靠性。本研究分析了先进AI安全与可信性标准化的国际趋势，明确了标准化的关键领域，提出了未来方向与策略，并得出了政策启示。研究目标是支撑先进AI的安全可信发展，并通过有效的标准化提升国际竞争力。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
