The Algorithm Game by Jane R. Bambauer, Tal Zarsky :: SSRN

Most of the discourse on algorithmic decision-making, whether it comes in the form of praise or warning, assumes that algorithms apply to a static world. But automated decision-making is a dynamic process. Algorithms attempt to estimate some difficult-to-measure quality about a subject using proxies, and the subjects in turn change their behavior in order to game the system and get a better treatment for themselves (or, in some cases, to protest the system.) These behavioral changes can then prompt the algorithm to make corrections. The moves and counter-moves create a dance that has great import to the fairness and efficiency of a decision-making process. And this dance can be structured through law. Yet existing law lacks a clear policy vision or even a coherent language to foster productive debate.