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Found 3 papers, 1 papers with code
Metric Elicitation; Moving from Theory to Practice
Specifically, we create a web-based ME interface and conduct a user study that elicits users' preferred metrics in a binary classification setting.
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
On synthetic datasets, we find performance on this task much more reliably differentiates entangled and disentangled models than baseline approaches.
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems
The results of our experiments demonstrate that evaluations with proxy tasks did not predict the results of the evaluations with the actual decision-making tasks.
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