These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Data Shapley
In a cooperative game, there are n players D = {1,...,n} and a score function v : 2[n] → R assigns a reward to each of 2 n subsets of players: v(S) is the reward if the players in subset S ⊆ D cooperate. We view the supervised machine learning problem as a cooperative game: each source in the train data is a player, and the players work together through the learning algorithm A to achieve prediction score v(D) = V(D,A). Data Shapley computes the equitable share that each player receives from the cooperation.
About the metric
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