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Time: 02/Apr/2019: 5:00pm-6:00pm · Location: Hall of Distinction
Algorithmic Accountability in Surveillance Regulation
1University of Washington, United States of America; 2University of Washington, United States of America; 3University of Washington, United States of America
We conduct an ethnographic case study of the 2017 Seattle Surveillance Ordinance and place it in the context of recent and ongoing legal efforts in other cities. We evaluate these policies through the lens of sociotechnical interventions to prevent algorithmic harms. Our evidence suggests that ex-isting regulatory efforts do not fully anticipate analytic capabilities of algo-rithmic systems. We argue that finer-grained distinctions between types of surveillance systems would strengthen surveillance regulation by making their underlying methods more legible to political and community stake-holders.
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