oHC10: The role of AI in qualitative research: Balancing opportunities and challenges
Gizem Solmaz-Ratzlaff, Veli-Matti Karhulahti, Lindsay Lee, Sondra Stegenga, Rachel L Renbarger, Monica Gonzalez-Marquez, Iris Nomikou, Stephanie Elizabeth Beckman, Hilary Lustick, Mark Watford
Integrating artificial intelligence (AI) in qualitative research offers academic scholars a variety of opportunities and challenges. AI can streamline qualitative analysis by using natural language processing and machine learning. However, ethical considerations such as AI bias, privacy, (lack of) theoretical underpinnings, and preservation of human-centered analysis demand critical examination.
This hackathon invites researchers from all stages to collaboratively explore the role of AI in advancing qualitative methodologies. We aim to produce a paper that identifies AI’s capabilities and limitations within qualitative research, emphasizing the impact on methodological rigor and data integrity. Through this collaboration, we will identify the implications of and propose strategies for ethical AI use in qualitative research. We will discuss usage of open science practices to investigate AI in qualitative research. By fostering interdisciplinary dialogue and critical collaboration, this hackathon seeks to shape the future of ethical and rigorous AI integration in qualitative research methodologies.