Этика использования искусственного интеллекта в качественных исследованиях

Обзорная статья
  • Тарас Владимирович Богданов Национальный исследовательский университет «Высшая школа экономики», Москва, Россия tbogdanov@hse.ru ORCID ID https://orcid.org/0009-0006-4818-9318
Для цитирования
Богданов Т. В. Этика использования искусственного интеллекта в качественных исследованиях // Интеракция. Интервью. Интерпретация. 2026. Том 18. № 2. С. 30-50. DOI: https://doi.org/10.19181/inter.2026.18.2.4 EDN: BYQMLP

Аннотация

Статья посвящена этическим и методологическим аспектам использования искусственного интеллекта (ИИ) в качественных социологических исследованиях. Широкое применение генеративного ИИ в научных исследованиях запустило междисциплинарную дискуссию об инструментальной эффективности и моральной допустимости применения технологии в процессе получения научного знания. Наиболее активные дебаты происходят в области социальных наук, в частности, среди исследователей, применяющих качественную методологию. Цель статьи — выявить векторы трансформации качественной методологии и очертить контуры новых этических дилемм, возникающих при делегировании интерпретативного труда нейросетям.Формирование новой исследовательской этики рассматривается через пересечение двух векторов: институционального регулирования («сверху вниз») и адаптации ИИ в реальных полевых условиях исследователями («снизу вверх»). Показано, что ИИ переходит из статуса вспомогательного инструмента в роль эпистемического медиума и со-исследователя, формируя модель гибридного (augmented) исследователя. Авторская позиция состоит в том, что этика использования ИИ не может быть сведена ни к нормативным запретам, ни к технооптимистическому принятию: продуктивным для исследователей, интегрирующих ИИ в свою практику, выступает принцип двойной рефлексивности. Главный вывод: этичное использование ИИ невозможно свести к формальным конвенциям. Решением выступает трансформация концепта методологической прозрачности из формальной декларации в подробный аудиторский след, фиксирующий все этапы взаимодействия алгоритма и исследователя, за которым сохраняется исключительная ответственность за валидность производимого социологического знания.
Ключевые слова:
качественные исследования, генеративный искусственный интеллект, исследовательская этика, методологическая прозрачность, эпистемология социальных наук

Биография автора

Тарас Владимирович Богданов, Национальный исследовательский университет «Высшая школа экономики», Москва, Россия
Студент магистратуры, стажер, Институт статистических исследований и экономики знаний, Центр статистики и мониторинга информационного общества и цифровой экономики

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Статья

Поступила: 15.04.2026

Опубликована: 03.07.2026

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APA
Богданов, Т. В. (2026). Этика использования искусственного интеллекта в качественных исследованиях. Интеракция. Интервью. Интерпретация, 18(2), 30-50. https://doi.org/10.19181/inter.2026.18.2.4
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Теоретические дискурсы и дискуссии
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