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The facial recognition startup claims it collected billions of photos from sites like Facebook and Twitter. What does the practice mean for the open web?
The Indian government has played down fears of mass surveillance in response to concerns that its proposed facial recognition system lacks adequate oversight.
Replying to a legal notice filed by the Internet Freedom Foundation (IFF), a Delhi-based non-profit that works on digital liberties, the country’s National Crime Record Bureau (NCRB) defended the move, stating it doesn’t interfere with privacy of citizens as it “only automates the existing police procedure of comparing suspects’ photos with those listed in LEA’s [Law Enforcement Agency] databases.”
Unilever has claimed it is saving hundreds of thousands of pounds a year by replacing human recruiters with an artificial intelligence system, amid warnings of a populist backlash against the spread of machine learning.
Identity fraud is justification for collecting photos from drivers’ licences and passports but critics say plan too invasive
Retail has had three phases, according to Katelijn Quartier, who heads the Retail Design Laboratory at Hasselt University in Belgium. ‘In Retail 1.0, the manufacturer was in charge and no designer was needed. Retail 2.0 was a phase where the retailer was in charge but hired an architect or interior architect to design the store following the brand’s or retailer’s ideas,’ she wrote in Retail Design, Theoretical Perspectives (Routledge). We have entered ‘Retail 3.0, a time when the customer is more and more in charge… This asks for much more from a designer than to translate a retailer’s identity into a store design and goes beyond mere functionality and efficiency – even more so now that a commodification of products, brands and retail is occurring’.