Society has witnessed plenty of developments in the space of artificial intelligence (AI) and its profound implications for civil rights and civil liberties, but the stakes are far greater than society has yet to acknowledge, and its profound responsibilities are correspondingly far deeper than we have yet to assume.
Mass surveillance affects all Americans through a wide suite of technologies—but facial recognition, which has become one of the most critical and commonly-used technologies, poses special risks of disparate impact for historically marginalized communities.
Algorithmic discrimination occurs when automated systems contribute to unjustified different treatment or impacts disfavoring people based on their race, color, ethnicity, sex (including pregnancy, childbirth, and related medical conditions, gender identity, intersex status, and sexual orientation), religion, age, national origin, disability, veteran status, genetic information, or any other classification protected by law.
Depending on the specific circumstances, such algorithmic discrimination may violate legal protections and has the potential of becoming the technological equivalent of Jim Crow.
Join Maurice R. Dyson, a Professor at Suffolk Law School, in this informative lecture.
Note: This is an online lecture at 7pm. $15 registration fee. No discounts or waivers apply.