Competition over data: how does data purchase affect users?. (arXiv:2201.10774v1 [cs.LG])

As machine learning (ML) is deployed by many competing service providers, the
underlying ML predictors also compete against each other, and it is
increasingly important to understand the impacts and biases from such
competition. In this paper, we study what happens when the competing predictors
can acquire additional labeled data to improve their prediction quality. We
introduce a new environment that allows ML predictors to use active learning
algorithms to purchase labeled data within their budgets while competing
against each …

arxiv competition data purchase