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Found 3 papers, 1 papers with code
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such NLP work due to poor alignment with fact-checker practices, values, and needs.
Learning Complementary Policies for Human-AI Teams
We then extend our approach to leverage opportunities and mitigate risks that arise in important contexts in practice: 1) when a team is composed of multiple humans with differential and potentially complementary abilities, 2) when the observational data includes consistent deterministic actions, and 3) when the covariate distribution of future decisions differ from that in the historical data.
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Long-term fairness is an important factor of consideration in designing and deploying learning-based decision systems in high-stake decision-making contexts.
