Counterfactual harm Jonathan G. Richens DeepMind Rory Beard Comind Daniel H. Thompson Babylon

Neural Information Processing Systems 

However, to date there is no statistical method for measuring harm and factoring it into algorithmic decisions. In this paper we propose the first formal definition of harm and benefit using causal models.

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