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More and more processes governing our lives use in some part an automaticdecision step, where -- based on a feature vector derived from an applicant --an algorithm has the decision power over the final outcome. Here we present asimple idea which gives some of the power back to the applicant by providingher with alternatives which would make the decision algorithm decidedifferently. It is based on a formalization reminiscent of methods used forevasion attacks, and consists in enumerating the subspaces where theclassifiers decides the desired output. This has been implemented for thespecific case of decision forests (ensemble methods based on decision trees),mapping the problem to an iterative version of enumerating $k$-cliques.

What Can I Do Now? Guiding Users in a World of Automated Decisions