Someone I know, Carson Loughridge, wrote this very nice post explaining the core intuition around Shapley values (which play an important role in impact assessment and cooperative games) using Venn diagrams, and I think it's great. It might be the most intuitive explainer I've come across so far.
Incidentally, the post also won an honorable mention in 3blue1brown's Summer of Mathematical Exposition. I'm really proud of having given input on the post.
I've included the full post (with permission), as follows:
Shapley values are an extremely popular tool in both economics and explainable AI.
In this article, we use the concept of “synergy” to build intuition for why Shapley values are fair. There are four unique properties to Shapley values, and all of them can be justified visually. Let's dive in!
A figure from Bloch et al., 2021 using the Python package SHAP
The Game On a sunny summer [...]
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Outline:(01:07) The Game
(04:41) The Formalities
(06:17) Concluding Notes
The original text contained 2 images which were described by AI. ---
First published: December 6th, 2024
Source: https://www.lesswrong.com/posts/WxCtxaAznn8waRWPG/understanding-shapley-values-with-venn-diagrams ---
Narrated by
TYPE III AUDIO.
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Images from the article:
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