Abstract:
This study explores the various Artificial Intelligence (AI) technologies, such as
natural language processing and machine learning, that enhance qualitative re
search processes. AI's capabilities streamline data collection, coding, theme
iden-tification, and visualization, providing efficiencies that manual analysis
cannot match. Despite these benefits, challenges remain, including AI's
limitations in in-terpreting nuanced data, reliance on training datasets, and
potential ethical con-cerns regarding privacy and consent. This article
emphasizes a balanced approach where AI supports, rather than replaces,
traditional
qualitative research methods. Looking ahead, continued
advancements in AI technology are expected to drive more sophisticated and
collaborative research practices, fostering hybrid methods that combine AI's
power with human expertise.
