Summary of article from Sage Journals, by Jean-Christophe Bélisle-Pipon, Maria Powell, Renee English, Marie-Françoise Malo, Vardit Ravitsky, Bridge2AI–Voice Consortium, Yael Bensoussan:
Voice as a health biomarker using artificial intelligence (AI) is gaining momentum in research. The noninvasiveness of voice data collection through accessible technology (such as smartphones, telehealth, and ambient recordings) or within clinical contexts means voice AI may help address health disparities and promote the inclusion of marginalized communities. However, the development of AI-ready voice datasets free from bias and discrimination is a complex task. The objective of this study is to better understand the perspectives of engaged and interested stakeholders regarding ethical and trustworthy voice AI, to inform both further ethical inquiry and technology innovation.