Kate Kaye is an award-winning journalist with nearly twenty years of professional reporting experience chronicling the evolution of digital media and technology. One of the first reporters to track how political organizations use digital advertising, Kate is the author of "Campaign '08: A Turning Point for Digital Media," a 2009 book (http://www.amazon.com/gp/product/1441488464/ref=cm_cr_thx_view) covering the digital media efforts of the 2008 presidential campaigns. Kate has appeared on NPR’s On the Media, Weekend Edition Sunday and the Brian Lehrer Show, in addition to Fox’s Stossel Show and CBC Radio.
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.