3.0

credits

Average Course Rating

Artificial intelligence, machine learning, and big data are central to futuristic visions of fast, optimized medical treatment. This class examines technology’s promises: who benefits from, and who pays the price for, the automation of care? How does the clinical goal of improving health relate to industry priorities such as efficiency and revenue growth? By studying health AI applications in wellness, diagnosis, decision support, and administration, we will gain conceptual understanding of how algorithmic systems function, as well as their social, economic, and political implications. Students will investigate how automation can entrench inequality, both for patients and for healthcare workers. Authors such as Ruha Benjamin, Safiya Noble, and S. Scott Graham guide us beyond the “promises and perils” to a critical assessment of how technology interacts with systems of racial capitalism and biopolitics.