Аннотация
К настоящему времени накоплен значительный задел в исследовании проблемы формулирования запросов к искусственному интеллекту (ИИ), или промпт-инжиниринга. Вместе с тем, в литературе по теме сохраняются заметные лакуны, в том числе связанные с проведением социального анализа и прогнозированием будущего. В статье представлен обзор публикаций и результаты лабораторного тестирования различных инструментов ИИ. В частности, приводится подробный список белых пятен в исследованиях, составленный на основе анализа существующей литературы. Установлено, что при условии грамотно сформулированного запроса ИИ выполняет социальный анализ и прогнозирует будущее не хуже или даже лучше, чем опытные эксперты. Изучение литературы свидетельствует, что для обеспечения необходимой надежности следует четко разграничивать два аспекта деятельности специалистов по подготовке запросов (промпт-инженеров): их формулирование как таковое и контроль качества информации, которая не сводится к ответам на запросы. Предложены схема рабочего процесса в виде модели применения ИИ для сбора информации и обоснование возможного в перспективе снижения зарплат менеджеров высшего звена.
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