SHAP Values: An Intersection Between Game Theory and Artificial Intelligence

SHAP Values: An Intersection Between Game Theory and Artificial Intelligence

Explainer

Kleyton da Costa

08 Mar 2023

Explainable AI has gained prominence recently due to the need for increasingly transparent and secure Artificial Intelligence (AI) systems. This need is reflected, for example, in the importance placed on the topic by the Defense Advanced Research Projects Agency (DARPA), part of the United States Department of Defense (DoD), with the launch of the DARPA-BAA-16-53 program in 2016. The scope of the DARPA project is represented in the figure below. The AI concept presented in this 2016 program is not far from what we understand as Explainable AI seven years later, which is to build systems capable of generating human-understandable explanations about the AI model outputs.

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