Directorio de Colaboradores

Christopher McVey is a master lecturer in the Boston University Writing Program, where he teaches courses on AI philosophy and ethics, post-apocalyptic fiction and film, poetry of witness, and topics in literature. He is part of a team studying how undergraduate students use generative AI and the beliefs that motivate those uses. He has served on several AI initiatives within BU, most recently as part of the BU team participating in the AAC&U Institute on AI, Pedagogy, and the Curriculum. He has also been interviewed on the Intentional Teaching podcast about his participation in the AI-Intensive Writing Pilot at Boston University.

Haya Ajjan is a professor of management information systems and dean of the Martha and Spencer Love School of Business at Elon University in North Carolina, where she also co-leads the generative AI implementation team. She was named one of the Top 50 Undergraduate Business Professors in the United States by Poets&Quants. Her research focuses on better understanding the impact of technology use on individuals and organizations and has been published in journals such as Journal of Business Research and European Journal of Operational Research.

Juan Ignacio Sanz Fuentes ejerce actualmente como Adjunto al Vicerrectorado de Planificación Estratégica y Cultura Digital en la Universidad CEU San Pablo, donde también es Secretario del Comité de Ética para el Uso de la Inteligencia Artificial. Su experiencia en gestión académica es extensa, habiendo desempeñado roles clave como Secretario Académico de la Facultad de Humanidades y Ciencias de la Comunicación, y director de los grados en Informática y Comunicación Digital. Además, ha liderado la implementación de programas académicos estratégicos, como el Grado en Informática de Sistemas para el Centro Ramón Areces.

En el ámbito profesional y docente, ha impartido más de 5.000 horas de clase y ha coordinado iniciativas de transferencia tecnológica junto a empresas de primer nivel como Accenture, Deloitte y Telefónica. Su labor investigadora actual está volcada en la innovación docente, el diseño de experiencia de usuario (UX) y la integración ética de la inteligencia artificial5. Destaca también su faceta como mentor, dirigiendo proyectos académicos en colaboración con la Universidad de Stanford que han resultado en premios internacionales para sus alumnos.

Actualmente trabaja para el vicerrectorado diseñando, una web que sirva de ecosistema de ayuda a la integración de la inteligencia artificial en la docencia.

Nick Potkalitsky, PhD, has over 20 years of teaching experience across K–12 and higher education, specializing in helping educators integrate digital tools into learning environments. He is the author of AI in Education: A Roadmap for a Teacher-Led Transformation and publisher of the Educating AI Substack, where he bridges academic research and practical application. As founder and CEO of Pragmatic AI Solutions, he develops customized AI-implementation strategies for educational institutions. His work in curriculum design, digital pedagogy, and AI literacy has been featured at leading educational technology conferences.

Oguz A. Acar is a professor of marketing and innovation at King’s Business School, King’s College London, and a research affiliate at Harvard University’s Laboratory for Innovation Science. His research focuses on collective innovation, particularly on digital platforms, and the psychology of AI.

Yvette Mucharraz y Cano is a human resources professor at IPADE Business School in Mexico. She is also the director and board member of the Women’s Research Centre (CIMAD) at IPADE. Her practitioner’s experience has been as a human resources and organizational development executive for more than 20 years. Her research is focused on organizational disaster resilience and sustainability.