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.