Only recently has the psychologically hazardous side of data work—the under-paid labor necessary to sustaining or scaling contemporary AI systems—come under broad public scrutiny. With the astronomical expansion of generative AI applications, a feat made possible by a parallel expansion of the data work labor force, these jobs increasingly involve repeated ...

As AI systems increasingly shape critical decisions in society, ensuring fairness presents both philosophical and practical challenges. This talk begins by broadening the existing scope of normative discourse on machine learning and algorithmic decision-making. Drawing on ...

Talk information: TBA