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How to measure interpretability?

Dernière mise à jour : 4 mars 2021

V. Margot, Towards Data Science, November 21st, 2020.

Abstract: Today almost everyone uses, consciously or unconsciously, artificial intelligence algorithms. And more and more people are beginning to question how they work. In September 2020, Twitter apologized for ‘racist’ image-cropping algorithm. This image-cropping anomaly has been found by Colin Madland a PhD candidate who wanted to tweet a similar anomaly from the software Zoom. Of course, this is a minor issue, but a sentence such as “The algorithm said to turn left for a reason, but we do not know what the reason is” cannot be an answer after a self-driving car accident. Then the question of interpretability arises.


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