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.
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?
For O’Neil, evaluating the quality of an algorithm is not only contingent on assessing the data employed to train it, but determined by its impact on everyone who might be affected by the decisions it makes.