Data are not objective; algorithms have biases; machine learning doesn’t produce truth. These realities have uneven effects on people’s lives, often serving to reinforce existing systemic biases and social inequalities. At the same time, data can be used in the service of social justice, and taking control of the data produced about people and its use is more and more important in our data-centric world. Brown’s Center for the Study of Race and Ethnicity in America (CSREA) and Data Science Initiative (DSI) invite you to a panel discussion about algorithms, race, and justice—the problems and the possibilities.
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