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Found 3 papers, 1 papers with code
Natural Example-Based Explainability: a Survey
The exclusion of methods that require generating examples is justified by the need for plausibility which is in some regards required to gain a user's trust.
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Contrarily to societal applications where a set of proxy variables can be provided by the common sense or by regulations to draw the attention on potential risks, industrial and safety-critical applications are most of the times sailing blind.
Xplique: A Deep Learning Explainability Toolbox
Today's most advanced machine-learning models are hardly scrutable.
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