NLM Science, Technology, and Society Lecture

NLM first annual Lecture on Science, Technology, and Society The National Library of Medicine presents its first annual Lecture on Science, Technology, and Society with a talk from Dr. Kate Crawford. Machine learning systems are already playing a significant role in many of our social institutions, including healthcare, education, hiring and criminal justice. Despite the patina of objectivity and neutrality, many scholars have shown how these systems can reproduce and intensify forms of structural bias and discrimination. In this talk, Dr. Crawford shares insights from her new book, Atlas of AI, to show the historical origins, labor practices, infrastructures, and epistemological assumptions that underlie the production of artificial intelligence. The classificatory logics and predictive approaches raise challenges that extend well beyond the current bias debate. Dr. Crawford offers new paths for thinking through the research ethics and policy implications of the turn to machine learning, which are increasingly urgent in a time of a pandemic and growing inequality in the United States. Dr. Crawford is a leading scholar of science, technology, and society. Over a 20-year career, her work has focused on understanding large scale data systems and AI in the wider contexts of history, politics, labor, and the environment. Dr. Crawford has held academic positions around the world, including Massachusetts Institute of Technology, the University of Sydney, New York University, Micros...
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