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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">sustain</journal-id><journal-title-group><journal-title xml:lang="ru">Надежность</journal-title><trans-title-group xml:lang="en"><trans-title>Dependability</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1729-2646</issn><issn pub-type="epub">2500-3909</issn><publisher><publisher-name>RAMS Journal Limited liability company</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21683/1729-2646-2024-24-3-10-17</article-id><article-id custom-type="elpub" pub-id-type="custom">sustain-601</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ЗАДАЧАХ НАДЕЖНОСТИ И БЕЗОПАСНОСТИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>МЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ЗАДАЧАХ НАДЕЖНОСТИ И БЕЗОПАСНОСТИ</subject></subj-group></article-categories><title-group><article-title>Начала законодательства для автономных систем искусственного интеллекта</article-title><trans-title-group xml:lang="en"><trans-title>Fundamentals of legislation in autonomous artificial intelligence systems</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-4649-6037</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Романова</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Romanova</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Романова Анна Сергеевна – эксперт в области цифровой трансформации, к.э.н., MBA, LL.M, ALM, FCCA, свыше 15 лет опыта работы в крупнейших российских и международных компаниях, аспирант по направлению “Искусственный интеллект и машинное обучение”</p><p>Москва</p></bio><bio xml:lang="en"><p>Anna S. Romanova, PhD, expert in the area of digital transformation, Ph.D., MBA, LL.M, ALM, FCCA, over 15 years of experience in the largest Russian and international companies, postgraduate student at in the field of Artificial Intelligence and Machine Learning</p><p>Moscow</p></bio><email xlink:type="simple">romanova.as@phystech.edu</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский физико-технический институт (национальный исследовательский университет)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Institute of Physics and Technology (National Research University)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>14</day><month>09</month><year>2024</year></pub-date><volume>24</volume><issue>3</issue><fpage>10</fpage><lpage>17</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Романова А.С., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Романова А.С.</copyright-holder><copyright-holder xml:lang="en">Romanova A.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.dependability.ru/jour/article/view/601">https://www.dependability.ru/jour/article/view/601</self-uri><abstract><p>В статье предлагается метод формирования выделенного операционного контекста при разработке и внедрении автономных систем управления корпорациями на примере автономных систем для совета директоров. Значительную часть операционного контекста для автономных систем управления компаниями составляет регуляторная и правовая среда, в рамках которой корпорации осуществляют свою деятельность. С целью создания специального операционного контекста для автономных систем искусственного интеллекта формулировки локальных нормативных документов могут быть одновременно представлены в двух вариантах: для использования людьми и для использования автономными системами. В таком случае система искусственного интеллекта получает четко очерченный операционный контекст, который позволяет такой системе выполнять функции в рамках необходимых эксплуатационных качеств. Локальные нормативные акты, которые предусматривают специфику совместной работы физических лиц и автономных систем искусственного интеллекта, могут стать базой для формирования основ соответствующего законодательства, регулирующего разработку и внедрение автономных систем.</p></abstract><trans-abstract xml:lang="en"><p>The paper proposes a method for defining a dedicated operational context as part of the development and deployment of autonomous corporate governance systems. The case study of autonomous board of directors systems is examined. A significant part of the operational context for the autonomous corporate governance systems consists of the regulatory and legal framework that regulates the company’s operations. A special operational context for autonomous artificial intelligence systems can be defined by simultaneously formulating local regulatory documents in two versions, i.e., to be used by people and by autonomous systems. In such a case, the artificial intelligence system receives a clearly defined operational context that allows such a system to perform its functions with a required operational quality. Local regulations that take into account the specificity of operations involving individuals and autonomous artificial intelligence systems can become the foundation of the relevant legislation that would regulate the development and deployment of autonomous systems.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>автономные системы</kwd><kwd>искусственный интеллект</kwd><kwd>операционный контекст</kwd><kwd>совет директоров</kwd><kwd>корпоративное управление</kwd></kwd-group><kwd-group xml:lang="en"><kwd>autonomous systems</kwd><kwd>artificial intelligence</kwd><kwd>operational context</kwd><kwd>board of directors</kwd><kwd>corporate governance</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Livermore M.A. Rule by Rules // Computational Legal Studies: The Promise and Challenge of Data-Driven Research. Edward Elgar Publishing, 2020. 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