{"id":23183,"date":"2024-11-16T09:44:12","date_gmt":"2024-11-16T01:44:12","guid":{"rendered":"https:\/\/www.1ai.net\/?p=23183"},"modified":"2024-11-16T09:44:12","modified_gmt":"2024-11-16T01:44:12","slug":"%e6%ac%a7%e7%9b%9f%e5%8f%91%e5%b8%83%e3%80%8a%e9%80%9a%e7%94%a8%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e4%b8%9a%e5%8a%a1%e5%ae%88%e5%88%99%e3%80%8b%e5%88%9d%e7%a8%bf%ef%bc%9a%e6%98%8e%e7%a1%ae-ai","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/23183.html","title":{"rendered":"EU publishes first draft of Generic AI Code of Practice: clear guidelines for AI risk management"},"content":{"rendered":"<p>November 16, 2011 - Technology media outlet engadget published a blog post yesterday (November 15) that<strong><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%ac%a7%e7%9b%9f\" title=\"_Other Organiser\" target=\"_blank\" >European Union<\/a>has published on November 14th the<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e9%80%9a%e7%94%a8%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd\" title=\"_Other Organiser\" target=\"_blank\" >General artificial intelligence<\/a>Preliminary draft Code of Practice<\/strong>The goal is to develop and use general-purpose artificial intelligence (<a href=\"https:\/\/www.1ai.net\/en\/tag\/gpai\" title=\"_OTHER ORGANISER\" target=\"_blank\" >GPAI<\/a>) modeling the regulatory framework.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-23184\" title=\"ce68c581j00sn0ssg009nd000go00afp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/11\/ce68c581j00sn0ssg009nd000go00afp.jpg\" alt=\"ce68c581j00sn0ssg009nd000go00afp\" width=\"600\" height=\"375\" \/><\/p>\n<p><strong>Generalized Artificial Intelligence Model Definition<\/strong><\/p>\n<p>The first draft of the Generic AI Code of Practice defines it as:<\/p>\n<blockquote>\n<ul>\n<li>Artificial intelligence models, including artificial intelligence models that are trained by self-supervision at scale using large amounts of data, that show remarkable versatility and are capable of a wide variety of different tasks, regardless of the manner in which the model is brought to market, and that can be integrated into a variety of downstream systems or applications.<\/li>\n<\/ul>\n<\/blockquote>\n<p><strong>Guidelines on systemic risk<\/strong><\/p>\n<p>Citing the blog post, the initial draft details how to manage the risks associated with generalized AI models, with guidelines that focus on helping organizations identify potential risks and take appropriate steps to mitigate those risks.<\/p>\n<p>In addition the document provides specific recommendations for enterprises to comply with relevant laws and regulations, helping them to be able to effectively avoid legal risks when developing and applying AI technologies.<\/p>\n<p>The EU is considering a tiered approach to regulation of generative AI models, with the higher the complexity and potential risk of the model, the more stringent the regulatory requirements. This tiered approach would help ensure that more powerful AI technologies are more closely regulated when they are used.<\/p>","protected":false},"excerpt":{"rendered":"<p>November 16 news, technology media engadget yesterday (November 15) published a blog post, the European Union has been released on November 14, the General Artificial Intelligence Code of Practice, a total of 36 pages, the goal of the development and use of General Artificial Intelligence (GPAI) models to set up a regulatory framework. Definition of General Purpose Artificial Intelligence (GPAI) Models The preliminary draft of the GPAI Code of Practice defines GPAI models as Artificial Intelligence (AI) models, including AI models trained by self-supervision at scale using large amounts of data, which demonstrate significant generalizability and are capable of a wide range of different tasks, irrespective of the way in which the model is brought to the marketplace, and which can be integrated into a wide range of downstream systems or applications. System Risk Guidelines Citing the introduction to the blog post, the first draft details the following<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[4944,893,4945],"collection":[],"class_list":["post-23183","post","type-post","status-publish","format-standard","hentry","category-news","tag-gpai","tag-893","tag-4945"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/23183","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=23183"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/23183\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=23183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=23183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=23183"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=23183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}