![]() ![]() ![]() There is an urgency around the need for public-facing and easily digestible explanations of FRS as it is widely accepted that facial recognition software can, and very often does, contain biases in its code libraries and/or training databases. My work also involves studying the cinema of facial recognition software (FRS) alongside research creation that build and trains FRS using Tensorflow and Keras and employing OpenCV and Python, as well as a variety of publicly-available datasets like FERET, MEDS database, and the recent IBM Faces in Diversity. I am currently a member of the Public Visualization Lab, an Elia Scholar, a VISTA doctoral Scholar, and a 2020 Joseph-Armand Bombardier doctoral fellow. My dissertation studies the cinema of facial recognition technologies and their impacts on citizenship, mobility, and crisis. My current research in the Cinema and Media Arts at York University. ![]()
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