A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act

@article{Sovrano2021ASO,
  title={A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act},
  author={Francesco Sovrano and Salvatore Sapienza and Monica Palmirani and Fabio Vitali},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.11168}
}
This study discusses the interplay between metrics used to measure the explainability of the AI systems and the proposed EU Artificial Intelligence Act. A standardisation process is ongoing: several entities (e.g. ISO) and scholars are discussing how to design systems that are compliant with the forthcoming Act and explainability metrics play a significant role. This study identifies the requirements that such a metric should possess to ease compliance with the AI Act. It does so according to… 

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