Adapting data science competencies by role and purpose: Voice AI

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 challengi...

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Autors principals:	David A. Dorr, Andrea Krussel, Rachel Hauck, Christie Jackson, Abhijeet Dalal, Steven Bedrick, Philip R. O. Payne, Bridge2AI-Voice Consortium, William Hersh, Yael Bensoussan, Olivier Elemento, Anais Rameau, Alexandros Sigaras, Satrajit Ghosh, Maria Powell, Vardit Ravitsky, Jean Christophe Belisle-Pipon, David Dorr, Phillip Payne, Alistair Johnson, Ruth Bahr, Donald Bolser, Frank Rudzicz, Jordan Lerner-Ellis, Kathy Jenkins, Shaheen Awan, Micah Boyer, Toufeeq Ahmed Syed, Jamie Toghranegar, James Anibal, Duncan Sutherland, Enrique Diaz-Ocampo, John Costello, Alexander Gelbard, Kimberly Vinson, Tempestt Neal, Lochana Jayachandran, Evan Ng, Selina Casalino, Yassmeen Abdel-Aty, Karim Hanna, Theresa Zesiewicz, Elijah Moothedan, Emily Evangelista, Samantha Salvi Cruz, Robin Zhao, Mohamed Ebraheem, Karlee Newberry, Iris De Santiago, Ellie Eiseman, JM Rahman, Stacy Jo, Anna Goldenberg
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-10-01
Col·lecció:	Frontiers in Digital Health
Matèries:	artificial intelligence voice speech language competency frameworks machine learning
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fdgth.2025.1610253/full
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Adapting data science competencies by role and purpose: Voice AI

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