The Right to an Explanation

By Maël Pégny, Eva Thelisson, Issam Ibnouhsein. 2019

Subfields: Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Robustness & Interpretability

1. Iason Gabriel
2. Po-Sen Huang
3. William S. Isaac
4. John F. J. Mellor
5. Borja Balle
6. Geoffrey Irving
7. Myra Cheng
8. Lisa Anne Hendricks

Citations in the corpus

• Ethical and social risks of harm from Language Models (2021, background): “If the underlying LM of this technology is not appropriately interpretable or explainable, the victim is unable to obtain an appropriate justification or reason for the discrimination in order to seek recourse (Vredenburgh, 2021).”
• Market Segmentation Trees (2019, methodology): “This dataset has been used in previous research and software documentation to evaluate the fitting potential and predictability of various choice modeling methods, including MNL-based specifications (Bierlaire et al. 2001) and neural networks (Han et al. 2020).”