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sensitive variable explicitly. Our algorithm also complies with the notion of equal treatment and explainable AI, and can be … applied to a wide variety of prediction tasks. We demonstrate the theoretical performance of our algorithm in the asymptotic … scenario. In addition, we show the practical performance of the proposed algorithm by comparing its performance with that of …
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Predictive AI is increasingly used to guide decisions on agents. I show that even a bias-neutral predictive AI can potentially amplify exogenous (human) bias in settings where the predictive AI represents a cost-adjusted precision gain to unbiased predictions, and the final judgments are made by...
Persistent link: https://www.econbiz.de/10014452605
We study a Bayesian coordination game where agents receive private information on the game's payoff structure. In … these different types of information, there exists a coordination game in the evaluation of this information. Even though …
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coordination with each other and can also dynamically break and redirect links to neighbors if they are unsatisfied. As a result … model to the class of pure and general coordination games. For pure coordination games, the networks co-evolve towards the … polarization of different strategies. In the case of general coordination games our results show that the possibility of refusing …
Persistent link: https://www.econbiz.de/10009751970
We survey the recent literature on coordination games, where there is a conflictbetween risk dominance and payoff …
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