  We critique recent work on ethics in natural language processing. Those
discussions have focused on data collection, experimental design, and
interventions in modeling. But we argue that we ought to first understand the
frameworks of ethics that are being used to evaluate the fairness and justice
of algorithmic systems. Here, we begin that discussion by outlining
deontological ethics, and envision a research agenda prioritized by it.
