Иностранная филология: язык, литература, образованиеТАҲЛИЛ АСПЕКТИДА, Кенжаев Аваз Латипович2019
The efficient application of ai in research methodology
Musoyeva AzizaBotirovna
Диалог, интеграция наук и культур в процессе научного и профессионального образования · 418-421 · 2015
Аннотация
Through increased speed, accuracy, and analytical rigor, artificial intelligence (AI) has revolutionized the research process in several disciplines. AI-driven solutions drastically cut the time required for research, including data analysis, hypothesis testing, and literature review automation as well as for data analysis. Along with its benefits, drawbacks, and ethical consequences, this article investigates the role artificial intelligence plays in several stages of the research process. This article clarifies how academics might skillfully use artificial intelligence intotheir research whilepreserving ethical responsibility and academic integrity. Keywords: artificial intelligence, research methodology, data analysis, machine learning, ethical considerations,AI-driven research tools
Доказательный фрагмент
«Through increased speed, accuracy, and analytical rigor, artificial intelligence (AI) has revolutionized the research process in several disciplines.»
Образец извлечения
Демо-превьюThrough increased speed, accuracy, and analytical rigor, artificial intelligence (AI) has revolutionized the research process in several disciplines. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- Тип
- Журнал
- Страна
- Узбекистан
- Ключевые слова
- artificial intelligence, research methodology, data analysis, machine learning, исследовательские инструменты, sun'iy intellekt, ma'lumotlarni tahlil qilish, axloqiy mulohazalar, основанные на ИИ, искусственный интеллект, методология исследований, ethical considerations, AI-driven research tools, анализ данных, mashinani o'rganish, этические соображения, sun'iy intellektga asoslangan tadqiqot vositalari, tadqiqot metodologiyasi, машинное обучение
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