Face Recognition Today: We Can Minimize its Risks
Abstract: In just a few years, face recognition technology has gone from a curiosity to widely used applications. However, with this deployment has come a host of problems--from insulting classifications to false arrests and violations of privacy. Some argue that it is too late to solve these problems. Others want to ban all face recognition software.
Professor Learned-Miller sees a path to minimizing the societal risks of face recognition technology. A longtime leader in computational face recognition research, he also works in the forefront of efforts to deploy it reasonably and safely in the world. In this lecture, he will propose establishing a federal regulatory agency, much like the Food and Drug Administration (FDA), that must approve the use of any face recognition application. He will look at the FDA's successful management of both pharmaceuticals and medical devices and argue that this is the logical solution for face recognition technologies.
Established in 1974, the annual Distinguished Faculty Lecture is dedicated to acknowledging the work of our most esteemed and accomplished faculty members. The lecture series not only honors individual faculty members and their achievements but also celebrates the values of academic excellence that we share as a community. Each honoree is presented with the Chancellor's Medal, the highest recognition bestowed upon faculty by the campus.