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Dr. Michael Madaio talks about how solutions to ensure fairness in AI are both technical and social and provides several examples of directions of research on fairness in AI. He points out the limitations of transparency in AI systems for education as a means of ensuring fairness. Dr. Michael Madaio is a post-doctoral researcher at Microsoft Research. He has a PhD in Human-Computer Interaction from Carnegie Mellon University.
about 1 year ago
#artificial-intelligence, #bias, #data-mining, #dropout-prediction, #e-learning, #education, #education-technology, #equity, #ethics, #fairness, #gender, #human-computer-interaction, #intelligent-tutoring-systems, #learning-analytics, #machine-learning, #online-learning, #race, #recommendation-systems, #transparency, #virtual-environments
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