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Found 6 papers, 1 papers with code
Predictive Performance Comparison of Decision Policies Under Confounding
However, it is challenging to compare predictive performance against an existing decision-making policy that is generally under-specified and dependent on unobservable factors.
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge
A growing body of research has explored how to support humans in making better use of AI-based decision support, including via training and onboarding.
Counterfactual Prediction Under Outcome Measurement Error
We also develop a method for estimating treatment-dependent measurement error parameters when these are unknown in advance.
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
In this paper, we identify five sources of target variable bias that can impact the validity of proxy labels in human-AI decision-making tasks.
Federated Continual Learning for Socially Aware Robotics
We show that decentralized learning is a viable alternative to centralized learning in a proof-of-concept Socially-Aware Navigation domain, and demonstrate how Elastic Transfer improves several of the proposed criteria.
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions
As machine learning approaches are increasingly used to augment human decision-making, eXplainable Artificial Intelligence (XAI) research has explored methods for communicating system behavior to humans.
