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Learn to create dynamic video prototypes with ACM's Montage system, enhancing design process by combining video with digital sketches. Less than 1-hour workload.
Explore Federated Learning and data privacy with ACM's short program. Learn about local gradients, differential privacy, and new techniques in under an hour.
Explore the controversial COMPAS risk assessment in criminal sentencing with ACM's short tutorial. Hear firsthand accounts of its impact and discuss the role of algorithms in justice.
Explore the rise of online hate movements, their impact, and the need for tech companies to improve enforcement measures in this ACM tutorial.
Explore the history of quantitative fairness in fields like education and hiring with this 1-2 hour tutorial by ACM. Learn about group fairness concepts and identify opportunities for further research.
Explore economic models, strategic manipulation, social equality, and affirmative action's effects in this ACM-offered study, requiring less than an hour.
Explore ethical tensions, racial bias in health algorithms, and China's social credit system in this under 1-hour material from the Association for Computing Machinery.
Explore economic models of fairness in machine learning with ACM's material, featuring discussions on equality of opportunity, population-level signaling, and fair allocation.
Explore the concept of explainability in computing with ACM's material, featuring diverse coherent explanations, model reconstruction, and deception detection.
Explore the intersection of law, policy, and AI with ACM's concise program, covering dishonest anthropomorphism, AI explanations, racial categories in machine learning, and algorithm fairness.
Explore the impact of content distribution in social media with ACM's study on Russia-linked ad campaigns on Facebook, biases in news perception, and controlling polarization.
Explore fairness methods in computing with ACM's program, featuring topics like causal latent-variable models, decision-making, and deep weighted averaging classifiers.
Explore bias in semantic representation, fair representation in crowdsourced recommendations, and subgroup fairness in machine learning with ACM's under 1-hour material.
Explore fairness in machine learning and sociotechnical systems with ACM's short program, featuring insights from experts like Samir Passi and Solon Barocas.
Explore the use of machine learning and predictive analytics in employment selection with ACM's tutorial. Learn about laws, discrimination theories, and measuring adverse impact. (1-2 hours)
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