Conversations around AI and ethics may have started as a preoccupation of activists and academics, but now — prompted by the increasing frequency of headlines of biased algorithms, black box models, and privacy violations — boards, C-suites, and data and AI leaders have realized it’s an issue for which they need a strategic approach.