via Slate author April Glaser, comes word of the coming vote by the Commisionsers of the City and County of San Francisco targeting the curtailment and prohibition of human facial computational recognition systems and surveillance (including many other forms of computational image analysis, eg. automated license plate readers - and other types of surveillance by automated and non-automatedmeans) in the City and County of San Francisco, California. Now, if they can only figure out how to teach folks not to defecate on the sidewalks and to safely dispose of the accumulated detritus of intravenous drugs, it might be a great city to live in...
"Beyond prohibiting face surveillance, the bill also requires all other types of surveillance technologies—like automatic license plate readers, predictive policing software, and cell phone surveillance towers—to only be adopted by city agencies following a public notice and vote by the Board of Supervisors. The bill also requires clear policies for how surveillance technologies will be used by the city government. via April Glaser writing at Slate
via Ben Coxworth, writing at NewAtlas, comes a fascinating discussion of an AI duel, of sorts. Squarely ensconced in the facial recognition arena, this is a story you won't want to miss. Today's Must Read!
'As concerns over privacy and data security on social networks grow, U of T Engineering researchers led by Professor Parham Aarabi (ECE) and graduate student Avishek Bose (ECE MASc candidate) have created an algorithm to dynamically disrupt facial recognition systems.' posted by Marit Mitchell, University of Toronto, U of T Engineering News