Lovely-Frances Domingo is a PhD candidate at the University of Maryland (UMD) College of Information (INFO), advised by Dr. Katie Shilton. Drawing insights from her background in cybersecurity consulting, community technology, design ethics, and information management, her research examines implicit and explicit knowledge practices in generative AI red teaming which shape — and are shaped by — social, cultural, material, and organizational realities of security and safety. She is a student affiliate of the Ethics & Values in Design (EViD) lab and Values Centered AI (VCAI) Consortium, and the NIST-NSF Institute for Trustworthy AI in Law & Society (TRAILS); and a volunteer expert contributor for the Open Worldwide Application Security Project (OWASP). She has a MS in Information Management from the Information School, and a BA in English with a minor in History — both from the University of Washington.

Lovely-Frances is currently working as a summer graduate assistant with Dr. Elizabeth Morgan on the project AI for IA: Artificial Intelligence for Inclusion and Access. The project will explore community-based participatory co-design approaches via interactive workshops and group discussions and examine how family and caregivers of children with disabilities build skills and techniques to evaluate potential risks and ethical implications of using AI to support special education advocacy.

Pillar and Grant Support: Inclusion and Access; TRAILS