umjУниверситетское управление: практика и анализUniversity Management: Practice and Analysis1999-66401999-6659Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»; Non-Commercial Partnership “University Management: Practice and10.15826/umpa.2025.04.028umj-2143Research ArticleСТРАТЕГИЧЕСКИЕ ОРИЕНТИРЫ ЦИФРОВИЗАЦИИ УНИВЕРСИТЕТОВSTRATEGIC PRIORITIES FOR THE DIGITALIZATION OF UNIVERSITIESОбзор политик применения генеративного искусственного интеллекта в ведущих зарубежных университетахReview of Policies for the Use of Generative Artificial Intelligence in Leading Foreign Universitieshttps://orcid.org/0000-0001-6290-8557ГорлачеваЕ. Н.GorlachevaE. N.

Евгения Николаевна Горлачева, доктор экономических наук, доцент, ведущий научный сотрудник

Дирекция приоритетных образовательных инициатив; проект исследования применения ИИ и цифровых решений в государственном секторе

119571; пр. Вернадского, 82; Москва

Evgeniya N. Gorlacheva, Dr. hab (Economics), Associate Professor, Leading Researcher

Direction of the Leading Educational Initiatives; Research Project on the Useof AI and Digital Solutions in the Public Sector

119571; 1/82 Vernadskogo ave; Moscow

gorlacheva-en@ranepa.ruhttps://orcid.org/0000-0003-1938-3518ОтоцкийП. Л.OtotskiyP. L.

Петр Леонидович Отоцкий, кандидат физико-математических наук, директор проекта

Дирекция приоритетных образовательных инициатив; проект исследования применения ИИ и цифровых решений в государственном секторе

119571; пр. Вернадского, 82; Москва

Peter L. Ototskiy, PhD (Physics and Mathematics), Head of the Project

Direction of the Leading Educational Initiatives; Research Project on the Use of AI and Digital Solutions in the Public Sector

119571; 1/82 Vernadskogo ave; Moscow

ototskiy-pl@ranepa.ruhttps://orcid.org/0009-0003-1209-9060ПоспеловаЕ. А.PospelovaE. A.

Екатерина Андреевна Поспелова, кандидат политических наук, старший научный сотрудник

Дирекции приоритетных образовательных инициатив; проект исследования применения ИИ и цифровых решений в государственном секторе

119571; пр. Вернадского, 82; Москва

Ekaterina A. Pospelova, PhD (Political Sciences), Senior Researcher

Direction of the Leading Educational Initiatives; Research Project on the Use of AI and Digital Solutions in the Public Sector

119571; 1/82 Vernadskogo ave; Moscow

pospelova-ea@ranepa.ruРоссийская академия народного хозяйства и государственной службыРоссияThe Russian Presidential Academy of National Economy and Public AdministrationRussian Federation2025290120262941733Copyright © Горлачева Е.Н., Отоцкий П.Л., Поспелова Е.А., 20262026Горлачева Е.Н., Отоцкий П.Л., Поспелова Е.А.Gorlacheva E.N., Ototskiy P.L., Pospelova E.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.umj.ru/jour/article/view/2143

   В статье представлен систематический обзор международных политик ведущих университетов мира по регулированию использования технологий генеративного ИИ в сфере высшего образования.

   Цель работы – проанализировать отношение ведущих университетов к масштабному использованию генеративного ИИ и выявить ключевые области учебного процесса, которые необходимо трансформировать, чтобы интеграция технологий была эффективной.

   Выделяются и сопоставляются регламентирующие политики ведущих мировых университетов, часть из которых транслирует крайне негативное отношение к новым технологиям, часть – прогрессивное. Проводится анализ соответствия регламентирующих политик задачам, стоящим перед академическим сообществом. Основное внимание уделяется анализу лучших практик в разработке регламентов использования генеративного ИИ. Статья будет интересна академическому сообществу в целом, но прежде всего управленческому корпусу и исследователям, занимающимся вопросами интеграции генеративного ИИ в сферу высшего образования.

   The article presents a systematic review of the international policies of the world’s leading universities on regulating the use of generative AI technologies in higher education.

   The purpose is to analyze the attitude of leading universities towards the use of generative AI and to identify key areas of the educational process that need to be transformed for technology integration to be effective.

   The regulatory policies of the world’s leading universities are highlighted and compared, some of which convey an extremely negative attitude towards new technologies, while others are progressive. The compliance of regulatory policies with the challenges facing the academic community is analyzed. The main focus is on reviewing best practices in developing regulations for the use of generative AI. The article will be of interest to the academic community as a whole, but above all, to the management corps and researchers involved in the integration of generative AI into higher education.

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The authors declare that there are no conflicts of interest present.