Aaron Tucker
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Homepage > Faces

Faces

My current research in the Cinema and Media Studies at York University 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. 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. You can watch this lecture that was given as part of the Ryerson University Centre for Digital Humanities Lunchtime Talks series for a general overview of some of the research directions I am currently taking; you can also scroll down to see some of the conference papers I have given on the topic as well as some of the ongoing research creation projects that I am involved in.

Creative Works

This Criminal Does Not Exist [in-progress]

Photogénie [in-progress]

Facial Agency [in-progress]

Conference Presentations:

“The Celebrity Faces of Facial Recognition Software” FSAC Graduate Student Conference, York University, Toronto, 2020

“Portrait Production and Processing in Facial Recognition Software as Symptomatic of the Assemblage of Modern Governmentality” MLA, 2020

“Diversity in Faces: IBM, Flickr, and the Facial Data as a Tactic of Governmentality” The End of Social Media Symposium, University of Toronto, 2019

“Meta-Watching: The Cinema of a Facial Recognition-Enabled Camera” FSAC , 2019

“Governmentality, Facial Recognition Software and Hollywood Cinema” FSAC Graduate Student Conference, 2019

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Spring, 2021

Books


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