{"id":{"repo_id":"carleton","oai_identifier":"oai:carleton.scholaris.ca:20.500.14718/43191"},"canonical_url":"https://search.dev.ndltd.org/etd/carleton/oai:carleton.scholaris.ca:20.500.14718/43191","repository":{"repo_id":"carleton","name":"Carleton University","base_url":"https://carleton.scholaris.ca/server/oai/request"},"display":{"title":"At Face Value: Mapping the Controversy of Facial Recognition Technology in Canada and its use by the RCMP","abstract":"Until the use of certain technologies become public, they tend to operate with limited controversy, which is the case with Clearview AI. Current literature on data-driven surveillance considers how these technologies violate constitutional rights to privacy and security. I propose to challenge this narrative by asking us to consider how the ontology of facial recognition is grounded within multiple realities. Specifically how different tools render the function of surveillance as contingent, multiple, and context dependent. By mapping out the controversies around facial recognition technology in Canada, this thesis will offer a critical perspective on what security controversies tell us about practices of surveillance and security politics in general. Please consider referencing my interactive timeline alongside this thesis (https://xmind.app/m/pwRKgK). This timeline functions to visualize different aspects of this controversy, while bridging the gap between multiple publics who may be interested in this case outside of the theoretical scope of this thesis.","abstract_html":"Until the use of certain technologies become public, they tend to operate with limited controversy, which is the case with Clearview AI. Current literature on data-driven surveillance considers how these technologies violate constitutional rights to privacy and security. I propose to challenge this narrative by asking us to consider how the ontology of facial recognition is grounded within multiple realities. Specifically how different tools render the function of surveillance as contingent, multiple, and context dependent. By mapping out the controversies around facial recognition technology in Canada, this thesis will offer a critical perspective on what security controversies tell us about practices of surveillance and security politics in general. Please consider referencing my interactive timeline alongside this thesis (https://xmind.app/m/pwRKgK). 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I propose to challenge this narrative by asking us to consider how the ontology of facial recognition is grounded within multiple realities. Specifically how different tools render the function of surveillance as contingent, multiple, and context dependent. By mapping out the controversies around facial recognition technology in Canada, this thesis will offer a critical perspective on what security controversies tell us about practices of surveillance and security politics in general. Please consider referencing my interactive timeline alongside this thesis (https://xmind.app/m/pwRKgK). This timeline functions to visualize different aspects of this controversy, while bridging the gap between multiple publics who may be interested in this case outside of the theoretical scope of this thesis."]},{"key":"dc:title","label":"Title","values":["At Face Value: Mapping the Controversy of Facial Recognition Technology in Canada and its use by the RCMP"]}]}],"canonical_facts":{"dc:creator":["Cahill, Cassandra Cathy Rina"],"dc:date.accessioned":["2025-04-08T20:51:21Z"],"dc:date.available":["2025-04-08T20:51:21Z"],"dc:date.issued":["2024"],"dc:description.abstract":["Until the use of certain technologies become public, they tend to operate with limited controversy, which is the case with Clearview AI. Current literature on data-driven surveillance considers how these technologies violate constitutional rights to privacy and security. I propose to challenge this narrative by asking us to consider how the ontology of facial recognition is grounded within multiple realities. Specifically how different tools render the function of surveillance as contingent, multiple, and context dependent. By mapping out the controversies around facial recognition technology in Canada, this thesis will offer a critical perspective on what security controversies tell us about practices of surveillance and security politics in general. Please consider referencing my interactive timeline alongside this thesis (https://xmind.app/m/pwRKgK). This timeline functions to visualize different aspects of this controversy, while bridging the gap between multiple publics who may be interested in this case outside of the theoretical scope of this thesis."],"dc:identifier.doi":["10.22215/etd/2024-16216"],"dc:identifier.uri":["https://hdl.handle.net/20.500.14718/43191"],"dc:language.iso":["en"],"dc:publisher":["Carleton University"],"dc:rights":["Copyright © 2024 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. 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