{"id":39460,"date":"2025-07-15T11:23:37","date_gmt":"2025-07-15T03:23:37","guid":{"rendered":"https:\/\/www.1ai.net\/?p=39460"},"modified":"2025-07-15T11:23:37","modified_gmt":"2025-07-15T03:23:37","slug":"%e5%85%a8%e7%90%83%e9%a6%96%e4%b8%aa-ai-%e6%99%ba%e8%83%bd%e4%bd%93%e5%ae%89%e5%85%a8%e6%b5%8b%e8%af%95%e6%a0%87%e5%87%86%e5%8f%91%e5%b8%83%ef%bc%8c%e8%9a%82%e8%9a%81%e9%9b%86%e5%9b%a2%e3%80%81","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/39460.html","title":{"rendered":"The world's first AI intelligence body safety test standard released, Ant Group, Tsinghua University, China Telecom and other joint compilation"},"content":{"rendered":"

July 15 news, according to ant technology news, the World Digital Academy of Sciences (WDTA) in the United Nations headquarters in Geneva recently officially released the AI STR series of new standards \"AI Agent<\/a>Operational Safety Test Standards, standards byAnt Group<\/a>Led by Tsinghua University and China Telecom, and jointly compiled by more than 20 domestic and international organizations, enterprises and universities, including PricewaterhouseCoopers, Nanyang Technological University in Singapore and Washington University in St. Louis, USA.The world's first safety test standard for single-intelligent-body operation<\/strong>.<\/p>\n

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According to reports, the standard is aimed at the \"behavior\" risk brought by the intelligent body across the \"language wall\", and for the first time, it corresponds the five key links of input\/output, big model, RAG, memory and tools with the operation environment, and builds a framework for risk analysis of the whole link; at the same time, it breaks down the risk types of the intelligent body, improves and innovates the test methods such as model detection, network communication analysis and tool fuzzy test. At the same time, we subdivided the risk types of intelligences, and improved and innovatively proposed testing methods such as model detection, network communication analysis and tool fuzzy testing.Bridging the gap in safety testing technology standards for smart bodies<\/strong>.<\/p>\n

1AI learned from Ant Technology that the standard not only provides a set of feasible and reliable security benchmarks for intelligent bodies, but also provides a global AI Agent<\/a>ecological security, credibility and sustainability adds useful exploration. Currently.Some of the standards of measurement and certification have been applied in the financial, medical and other fields.<\/strong>.<\/p>\n

Previously, WDTA has released three AI STR standards, including \"Generative Artificial Intelligence Application Safety Test Standard\", \"Big Language Model Safety Test Methodology\" and \"Big Model Supply Chain Safety Requirements\", with the participation of experts and scholars from OpenAI, Ant Group, Google, NVIDIA, Baidu, Tencent and dozens of other organizations. These standards include \"Generative AI Application Security Testing Standards\", \"Big Language Model Security Testing Methods\" and \"Big Model Supply Chain Security Requirements\", and are jointly participated by experts and scholars from dozens of organizations, including OpenAI, Ant Group, KDDI, Google, Microsoft, NVIDIA, Baidu, Tencent, etc.<\/p>","protected":false},"excerpt":{"rendered":"

July 15 news, according to ant technology news, the world digital academy of sciences (WDTA) in the United Nations headquarters in Geneva recently formally released the AI STR series of new standards \"AI intelligent body operation security test standard\", the standard by the ant group, Tsinghua University, China telecom lead, joint PricewaterhouseCoopers, Nanyang Technological University in Singapore, the United States, Washington University in St. Louis and other twenty domestic and foreign institutions, Enterprises and colleges and universities to compile, for the world's first single intelligent body operation safety test standards. According to reports, the standard focuses on the \"behavioral\" risk brought by the intelligent body crossing the \"language wall\", and for the first time, it corresponds the five key links of input\/output, big model, RAG, memory and tools to the operation environment, and builds a risk analysis framework for the whole link; at the same time, it breaks down the risk types of intelligent bodies into different categories, which are the same as the risk types of intelligent bodies. At the same time, we have subdivided the risk types of intelligences, and completed the analysis framework of the whole chain.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[786,1355,1030],"collection":[],"class_list":["post-39460","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-1355","tag-1030"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/39460","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=39460"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/39460\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=39460"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=39460"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=39460"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=39460"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}