A growing list of high-profile controversies involving the social impacts of ar- tificial intelligence systems (AI), digital data collection and algorithmic analy- sis have forced difficult conversations around the ethics of data-intensive digi- tal technologies and so-called “big data” research.These incidents are directly relevant to newly coalescing cultures of “data science,” an emergent field which seeks both to interpret and capitalize on the creation, collection, and processing of knowledge through large collections of digital data, often in conjunction with particular techniques like machine learning (ML).