Kate Kaye is a journalist who tells deeply-reported stories with words and sound. Her work has been published in Protocol, MIT Technology Review, CityLab, OneZero, Fast Company, and many other outlets, and it’s been heard on NPR, American Public Media’s Marketplace and other radio programs and podcasts. Kate has been interviewed about her work across the media spectrum from Fox’s Stossel show to Slate and NPR’s Weekend Edition. Follow Kate Kaye on Twitter: https://twitter.com/KateKayeReports
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.