As a data scientist working in industry, I frequently witness the impact a machine learning application can make. This impact often has a cascade of downstream effects which are inconceivable to a data scientist without enough domain knowledge. Nevertheless, under the widespread motto, "move fast and break things," in tech industry, ML practitioners tend to … Continue reading Reflection on Tech Policy Workshop at the Center for Applied Data Ethics at USF →