The Work in the Age of Intelligent Machines
Research Coordination Network

The rise of data-driven technologies in recent years has sparked renewed attention to questions of technological sensemaking and in particular the explainability or interpretability of such systems (a growing technical subfield commonly called “Explainable AI” or “XAI”). These approaches tend to focus on the technology itself (often at the level of model or predictive output) and fail to consider the broader context of use and the situated nature of technological sensemaking.

Course Description: Humanities senior seminar. Combine current theory with practice to prepare students as socially conscious technology developers. Analyze complex social and technical situations to develop socially appropriate responses through tasks that involve problem analysis, ethical considerations, and technology issues regarding influences on the distribution of jobs and nature of work.