Prof Isaac Wiafe

Prof. Isaac Wiafe is a Professor of Information Technology at the University of Ghana and the Founder and Lead of the Human–Computer Interaction Lab, at the Department of Computer Science. He is an internationally engaged researcher, technology innovator and consultant working at the intersection of artificial intelligence, human–computer interaction, persuasive technologies, digital health, accessibility and speech, and language technologies for low-resource African languages.

He has secured and led several competitive research grants from reputable institutions, including Google, UNICEF, MEST Africa and IDRC. His work combines frontier AI research with practical solutions to African challenges, including multilingual speech recognition and text-to-speech systems, impaired-speech technologies, maternal-health chatbots, culturally grounded content-moderation tools and open datasets for Ghanaian languages. His research has contributed to expanding the technological foundations needed to make AI more inclusive, locally relevant and accessible.

Prof. Wiafe has also provided consultancy and technical expertise to organisations including UNDP, Kofi Annan International Peacekeeping Training Centre, the Economic and Organised Crime Office of Ghana, the Ghana Police Service, among others. He has trained more than 1,500 university lecturers and administrators across Ghana in applying AI to teaching, research and institutional administration.

His research has appeared in respected international outlets, including the International Journal of Human–Computer Interaction, Behaviour & Information Technology, JMIR AI, Education and Information Technologies, and Personal and Ubiquitous Computing. 

Through his research, partnerships and leadership, Prof. Wiafe is building an internationally connected ecosystem for responsible, human-centred and Africa-relevant AI. He welcomes collaborations with funders, technology companies, governments, universities and development organisations seeking to translate advanced research into inclusive, scalable and socially meaningful innovation.