Strategic Representation. (arXiv:2206.08542v1 [cs.LG])

Humans have come to rely on machines for reducing excessive information to
manageable representations. But this reliance can be abused -- strategic
machines might craft representations that manipulate their users. How can a
user make good choices based on strategic representations? We formalize this as
a learning problem, and pursue algorithms for decision-making that are robust
to manipulation. In our main setting of interest, the system represents
attributes of an item to the user, who then decides whether or not …

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