Excerpt
Excerpt
No Data in the Void: Values and Distributional Conflicts in Empirical Policy Research and Artificial Intelligence. Maximilian Kasy, August 2019, Paper, "Decision making based on data - whether by policymakers drawing on empirical research, or by algorithms using machine learning - is becoming ever more widespread. Any time such decisions are made, we need to carefully think about the goals we want to achieve, and the policies we might possibly use to achieve them. Data cannot absolve us of this responsibility. They do not allow us to avoid value judgements, and do not relieve us from taking sides in distributional conflicts. This essay introduces a general framework to clarify this point, and then discusses a series of settings in which the choice of objectives (goals) has far-reaching and maybe unexpected implications." Link