The promise of artificial intelligence (AI) suggests that machines will augment human understanding by automating decision-making. Josh Parenteau, Director of Market Intelligence at Tableau explained how artificial intelligence and machine learning will act as another perspective, "helping uncover those insights that have gone previously undiscovered." Gartner research indicates that by 2020, "85% of CIOs will be piloting artificial intelligence programs through a combination of buy, build, and outsource efforts." But as organizations become more reliant on machine learning models, how can humans be sure that these recommendations are trustworthy? Many machine learning applications don't currently have a way to "look under the hood" to understand the algorithms or logic behind decisions and recommendations, so organizations piloting AI programs are rightfully concerned about widespread adoption.