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Recourse for reclamation: Chatting with generative language models
Researchers and developers increasingly rely on toxicity scoring to moderate generative language model outputs, in settings such as customer service, information retrieval, and content generation.
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation
Algorithmic harms are commonly categorized as either allocative or representational.
Algorithmic Censoring in Dynamic Learning Systems
In applications like consumer finance, this results in groups of applicants that are persistently denied and thus never enter into the training data.
Actionable Recourse via GANs for Mobile Health
Mobile health apps provide a unique means of collecting data that can be used to deliver adaptive interventions. The predicted outcomes considerably influence the selection of such interventions.
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