The ethics of examples in machine learning
We are most interested in the ethical and even political ramifications of this transition. How does being governed by examples, by machine learning's specific type of predictions and classifications, differ from the rule of computational rules? How, concretely, is authority exercised by machine learning techniques? If you would like answers to these questions, please read our article!
This comparative approach situates machine learning within a constellation of concepts from social theory such as rationalization, calculation, and prediction. It connects machine learning to longer-running historical forces while also making its specific type of authority intelligible: how, precisely, do we use it to govern ourselves and others. Comparing rules and examples brought a number of other philosophical oppositions to light—specification and emergence, prompts and commands, the implicit and the explicit, the general and the particular, is and ought... These indicate further lines of research both for ourselves and hopefully our readers.