AI, LLMs and the mobilization of large data sets are reshaping research, work, learning, and daily life. They are exerting influence on politics, media, business decisions, resource allocation, and education. This course will apply a feminist, critical race STS lens to understand the operation and uses of AI in research. We will examine what historical impacts, cultural factors, and forces of oppression may be operating in AI and directing data flows. This includes data center impacts, bias in data sets, the "black box" of processing, surveillance, power usage, financial implications, open access/science, labor, community involvement, autonomy, imagination, creativity, race, gender, status, and more. As researchers increasingly use AI and access/create new data sets, it is crucial that we understand the possibilities and limitations. For the final project, students will look at how these new tools of data analysis may be ethically used or challenged to produce meaningful and impactful research.