managementranepaУправленческое консультированиеAdministrative Consulting1726-11391816-8590Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management.10.22394/1726-1139-2023-9-118-123managementranepa-2356Research ArticleОБЩЕСТВО И РЕФОРМЫSOCIETY AND REFORMSПолитика в сфере искусственного интеллекта как область исследования: предварительные результаты библиометрического анализаAI Policy as a Field of Study: Preliminary Findings from a Bibliometric AnalysisБолговР. В.BolgovR. V.

доцент кафедры мировой политики; кандидатполитических наук

Associate Professor of the World Politics Department; PhD in Political Science

rbolgov@yandex.ruСанкт-Петербургский государственный университетSaint Petersburg State University20231910202309118123Copyright © Болгов Р.В., 20232023Болгов Р.В.Bolgov R.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.acjournal.ru/jour/article/view/2356

Цель статьи — способствовать лучшему пониманию литературы в области политики искусственного интеллекта (ИИ) и продемонстрировать возможности использования программного обеспечения для автоматизированной обработки информационных массивов, загруженных из библиографических баз данных, для библиометрического анализа этой сложной междисциплинарной области исследования.

Методы

Методы. Во-первых, мы используем описательный анализ статей и авторов, чтобы определить, что такое «политика в области ИИ», и основные направления этой исследовательской области. Во-вторых, мы определяем концептуальную структуру области исследования с помощью библиометрического анализа, который позволяет создать карту основных и особо важных изучаемых тем. Эти темы были проанализированы и сгруппированы. В-третьих, мы выявляем направления будущих исследований.

Результаты

Результаты. Всего было проанализировано 1545 публикаций из баз данных Google Scholar за период 1968–2022 гг. Полученные результаты свидетельствовали о возможности эффективного использования функциональных возможностей специального программного обеспечения для анализа тенденций в науке.

Выводы

Выводы. Качественная интерпретация результатов позволила предложить несколько направлений исследований, которые следует развивать в будущем. Первое заметное наблюдение — это малое количество исследований, изучающих политику ИИ и ее качество в условиях геополитических потрясений. Второе исследовательское наблюдение заключается в том, что на данный момент мало исследований того, какие последствия имеет политика в области ИИ.

The aim of the article is to contribute to a better understanding of the literature in the field of artificial intelligence (AI) policy and to demonstrate the possibilities of using software for automated processing of information arrays loaded from bibliographic databases for bibliometric analysis of this complex interdisciplinary research field.

Methods

Methods. First, we use a descriptive analysis of articles and authors to define what “AI policy” is and the main directions of this research field. Secondly, we define the conceptual structure of the research field using bibliometric analysis, which allows us to create a map of the main and especially important topics of study. These themes have been analyzed and grouped. Third, we identify areas for future research.

Results

Results. In total, 1545 publications were analyzed from the Google Scholar database for the period 1968–2022. The obtained results testified to the possibility of effective use of special software for the scientific trends analysis

Conclusion

Conclusion. The qualitative interpretation of the results made it possible to propose several areas of research that should be developed in the future. The first notable observation is the paucity of research examining AI policy and its quality in the face of geopolitical shock. The second research observation is that there is little research on the effects assessment of AI policies.

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