Generative Artificial Intelligence in Qualitative Research Methods: Between Hype and Risks?
Maria Couto Teixeira, Marisa Tschopp, Anna Jobin
随着人工智能(AI)越来越多地被推广并用于定性研究,它也引发了深刻的方法学问题。 本文批判性地询问了生成式AI(genAI)在定性编码方法中的作用。 尽管普遍存在炒作和提高效率的说法,但我们建议genAI在质量调查中在方法上无效,其使用风险会破坏定性研究的稳健性和可信度。 缺乏有意义的文件,商业不透明,以及genAI系统产生错误产出的固有趋势,都削弱了方法的严谨性。 总体而言,风险与收益之间的平衡并不支持在定性研究中使用genAI,我们的立场文件提醒研究人员在技术新颖性之前采用合理的方法论。
As Artificial Intelligence (AI) is increasingly promoted and used in qualitative research, it also raises profound methodological issues. This position paper critically interrogates the role of generative AI (genAI) in the context of qualitative coding methodologies. Despite widespread hype and claims of efficiency, we propose that genAI is not methodologically valid within qualitative inquiries, and its use risks undermining the robustness and trustworthiness of qualitative research. The lack o...