Using Generative AI for Qualitative Data Analysis – Case of Ailyze

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Using Generative AI for Qualitative Data Analysis – Case of Ailyze

This presentation will explore the fundamentals of qualitative research and qualitative data analysis, highlighting how rich, non-numerical data can be systematically interpreted to generate meaningful. It will also examine the emerging role of artificial intelligence in qualitative data analysis, including how AI tools can enhance efficiency, uncover patterns, and support deeper interpretation while navigating ethical considerations. A key focus will be on the responsible use of generative AI, discussing potential biases, privacy concerns, and the importance of maintaining research integrity. Participants will benefit by gaining practical knowledge on integrating AI into qualitative research, improving analytical rigor, and understanding ethical best practices, ultimately strengthening the quality and credibility of their evaluation work.

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Juliana Nakiwanda

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