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Found 4 papers, 1 papers with code
Towards an AI Accountability Policy
This white paper is a response to the "AI Accountability Policy Request for Comments" by the National Telecommunications and Information Administration of the United States.
Marrying Fairness and Explainability in Supervised Learning
Machine learning algorithms that aid human decision-making may inadvertently discriminate against certain protected groups.
On Optimizing Interventions in Shared Autonomy
Shared autonomy refers to approaches for enabling an autonomous agent to collaborate with a human with the aim of improving human performance.
Learning from Discriminatory Training Data
Supervised learning systems are trained using historical data and, if the data was tainted by discrimination, they may unintentionally learn to discriminate against protected groups.
