Abstract
As more cities embed facial recognition and artificial intelligence into their operational and security, addressing questions of privacy, accuracy, and morality becomes increasingly pressing. For residents of Detroit, as an example, advocacy organizations and politicians have debated the use of such technologies in the police departments’ Project Greenlight surveillance system. Additionally, private companies are also incorporating these technologies for business intelligence purposes. Despite debates around the topic, widespread knowledge and public sentiment about these technologies vary in the general population. This paper focuses on creating and implementing the “Face Detector,” an interactive installation that invited participants to explore the computation, hidden assumptions, statistical calculations, and potential biases of artificial intelligence commonly used in facial recognition technologies. It was placed in a public setting in the City of Detroit and used ludic approaches to engage residents and passers-by into engaging with these AI technologies. Using this project as a case study, this paper discusses the design and development of the project; ethical, privacy, and didactic considerations; and the public’s response toward the opportunities, biases, and ethical questions around the public use of artificial intelligence and facial recognition by directly engaging with Detroiters in an open environment.
Presenters
Anthony VankyAssistant Professor, University of Michigan - Taubman College, Michigan, United States Bryan Boyer
Director, Urban Technology, Taubman College of Architecture and Urban Planning, University of Michigan, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
2022 Special Focus: Trust, Surveillance, Democracy
KEYWORDS
Artificial intelligence, Computer vision, Affective computing, Creative research, Public engagement
