Kate Kaye is an award-winning multimedia journalist who has chronicled the evolution of digital media, data use and technology in her reporting for more than 20 years for outlets including Fast Company, MIT Technology Review, OneZero, CityLab, NPR and Advertising Age. One of the first journalists to track how political organizations use voter data and digital advertising (as early as 2002), she is the author of "Campaign '08: A Turning Point for Digital Media," a 2009 book covering the digital targeting efforts of the 2008 presidential campaigns.
While touting top rankings in a globally-watched accuracy test, Microsoft is pushing for facial recognition regulations that could expose accuracy levels of its competitors’ technologies. Meanwhile, civil liberties advocates worry the overall improvement of industry algorithms could lead to greater adoption of technologies that are not developed or employed in an ethical manner.
A few mostly-ignored lines in the US-Mexico-Canada Agreement serve to illuminate the tensions emerging among the public’s right to explainable AI decisions, corporate intellectual property and government security.
Even if algorithmic transparency is technically feasible, can we expect corporate entities engaged in a worldwide battle for AI domination to divulge this proprietary information in any meaningful manner?