Daniel Fonner

Daniel Fonner is the Associate Director for Research at SMU DataArts, the National Center for Arts Research at Southern Methodist University (SMU), as well as an adjunct lecturer in SMU’s Division of Corporate Communication and Public Affairs. Daniel’s teaching and research focus on data science for social good, employing artificial intelligence to improve public administration and support the arts and culture sector.

Responsible AI for Public Evaluation

Governments are using Artificial intelligence (AI) to reshape how they operate, which offers unprecedented opportunities to improve decision-making, enhance transparency, and deliver better outcomes for the public.

Corporate Communication and Public Affairs
Southern Methodist University

Daniel Fonner is the Associate Director for Research at SMU DataArts, the National Center for Arts Research at Southern Methodist University (SMU), as well as an adjunct lecturer in SMU’s Division of Corporate Communication and Public Affairs. Daniel’s teaching and research focus on data science for social good, employing artificial intelligence to improve public administration and support the arts and culture sector.

Prior to joining SMU, Daniel was a researcher at BOP Consulting in London (UK) and spent time as the Research and Policy Associate at the Greater Pittsburgh Arts Council (PA). He is a Fellow of the Royal Society of Arts (UK) and was a Fulbright Postgraduate Scholar where he studied cultural policy and the use of artificial intelligence to recreate lost works of art. Daniel is currently completing a Ph.D. in Computer Science at SMU focusing on Responsible Artificial Intelligence for Public Policy and Administration, with a secondary focus in Digital/Data Curation and Management through study at the University of North Texas. Daniel has received degrees from Duquesne University (Pittsburgh, PA), Carnegie Mellon University (Pittsburgh, PA), the University of Warwick (Coventry, UK), and Southern Methodist University (Dallas, TX).