
Striking the Right Balance Between Human and AI Transcription for Qualitative Research
By now we all know AI transcription of interviews is anything but flawless–esepcially when cultural references are critical to insights, as they can easily be missed by machines. But, if used properly, AI transcription can add efficiency to projects. In this article, multilinguistic researcher Jill Kushner Bishop outlines a decision-making framework to help researchers decide when to consider human or blended human and AI solutions to optimize resources and maximize the quality of insights. […]