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Explore bias preservation in machine learning and the legality of fairness metrics under EU law with this ACM tutorial. Less than 1-hour workload.
Learn to navigate the complexities of Explainable ML with this 1-2 hour tutorial by Harvard experts, offered by the Association for Computing Machinery.
Explore sociocultural diversity in machine learning with lessons from philosophy, psychology, and organizational science in this 1-2 hour tutorial by ACM.
Learn to apply AI model monitoring in healthcare with this 1-2 hour tutorial by ACM, featuring experts from U of Maryland and Humana.
Learn strategic prediction with ACM's tutorial, focusing on transparency and accuracy in decision-making. Material takes 1-2 hours. Presented by Harvard experts.
Explore the intersection of machine learning and EU non-discrimination law in this ACM tutorial, led by an Oxford University expert. Duration: under 1 hour.
Learn to navigate the complexities of Explainable ML with this 1-2 hour tutorial by ACM, featuring insights from Harvard experts.
Learn about fairness in translation from NYU experts in a 1-2 hour tutorial offered by the Association for Computing Machinery.
Learn to motivate, support, and expand ethical thinking in the tech classroom with this 1-2 hour tutorial by ACM.
Explore flawed mathematical models with Katrina Ligett in this less than 1-hour keynote by the Association for Computing Machinery.
Explore the intersection of health, technology, and race in a keynote by Yeshimabeit Milner, offered by ACM. Duration: under 1 hour.
Learn about fair and equitable privacy protections in less than an hour with ACM's Michael Ekstrand and Hoda Mehrpouyan.
Explore online discrimination and personalization in a multidisciplinary study by ACM. Less than 1-hour workload, led by experts from Carnegie Mellon University and UC Berkeley.
Explore the impact of AI on policy and society with Harvard Professor Latanya Sweeney in this 1-2 hour talk offered by ACM. Discuss potential risks and future directions.
Learn responsible data stewardship and how to deprecate datasets in less than an hour with ACM's concise guide.
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