AUTHOR=Dorr David A. , Krussel Andrea , Hauck Rachel , Jackson Christie , Dalal Abhijeet , Bedrick Steven , Payne Philip R. O. ,  Bridge2AI-Voice Consortium , Hersh William , Bensoussan Yael , Elemento Olivier , Rameau Anais , Sigaras Alexandros , Ghosh Satrajit , Powell Maria , Ravitsky Vardit , Christophe Belisle-Pipon Jean , Dorr David , Payne Phillip , Johnson Alistair , Bahr Ruth , Bolser Donald , Rudzicz Frank , Lerner-Ellis Jordan , Jenkins Kathy , Awan Shaheen , Boyer Micah , Hersh William , Krussel Andrea , Bedrick Steven , Ahmed Syed Toufeeq , Toghranegar Jamie , Anibal James , Sutherland Duncan , Diaz-Ocampo Enrique , Costello John , Gelbard Alexander , Vinson Kimberly , Neal Tempestt , Jayachandran Lochana , Ng Evan , Casalino Selina , Abdel-Aty Yassmeen , Hanna Karim , Zesiewicz Theresa , Moothedan Elijah , Evangelista Emily , Salvi Cruz Samantha , Zhao Robin , Ebraheem Mohamed , Newberry Karlee , De Santiago Iris , Eiseman Ellie , Rahman JM , Jo Stacy , Goldenberg Anna 

TITLE=Adapting data science competencies by role and purpose: Voice AI

JOURNAL=Frontiers in Digital Health

VOLUME=Volume 7 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1610253

DOI=10.3389/fdgth.2025.1610253

ISSN=2673-253X

ABSTRACT=Competencies help define the skills and knowledge needed by learners. Often broad, educators integrate competencies to provide a framework for curricula or professional standards. For data science, the rate of change in the field, role variations, and specificity in key applications can be challenging. Our objective was to adapt general data science competencies for different learner roles in an emerging area: the clinical utility of Voice, Language, and Speech-based Artificial Intelligence/Machine Learning (AI/ML). Using a persona-inductive approach, we adapted competencies to support learners from varying professional and educational backgrounds and implemented these adaptations in a multi-institutional summer school. Results from these pilot efforts demonstrated feasibility, highlighted the importance of cross-role collaboration, and provided lessons for scaling to broader audiences. Our frameworks show that competency adaptation is necessary and practical in rapidly evolving AI domains.