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Explore all talks and presentations from ACM FAccT Conference. Dive deep into the latest insights, research, and trends from the world's leading experts.
Explore the intersection of machine learning and mechanism design for algorithmic fairness in this ACM offering. Less than 1-hour workload.
Learn to operationalize framing for multiperspective recommendations of opinion pieces in this less than 1-hour material by ACM.
Explore Bayesian models in cash bail decisions with ACM's research track, requiring less than an hour of study.
Explore gender bias in translation across languages in this brief study by the Association for Computing Machinery.
Explore fairness in risk assessment with ACM's short study, focusing on post-processing to achieve counterfactual equalized odds.
Explore algorithmic recourse, counterfactual explanations, and interventions in less than an hour with ACM's research track.
Explore ethical issues in digital technology design with ACM's semiotics-based tool. Less than an hour's study.
Explore gender bias in bioimpedance-based body composition analysis in this ACM-offered study, requiring less than an hour of your time.
Explore algorithmic fairness in India with ACM's research track, offering less than an hour of insightful material.
Explore the concept of Leave-One-Out Unfairness in less than an hour with the Association for Computing Machinery's research track.
Explore fairness, welfare, and equity in personalized pricing with ACM's short, research-based study. Less than an hour's commitment required.
Explore bias in automatic speech recognition with ACM's short study on African American language, focusing on the case of habitual 'Be'.
Explore reflexive data practices in computer vision with ACM's short program, focusing on documenting datasets. Ideal for researchers.
Explore the impact of risk prediction in environmental compliance with ACM's short study on algorithmic design, environmental justice, and public policy.
Learn to design online infrastructure for AI data collection from disabled individuals in less than an hour with ACM.
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