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DOI: 10.4230/LIPIcs.FORC.2024.8

Score Design for Multi-Criteria Incentivization

Authors: Anmol Kabra, Mina Karzand, Tosca Lechner, Nati Srebro, and Serena Wang

Published in: LIPIcs, Volume 295, 5th Symposium on Foundations of Responsible Computing (FORC 2024)

Abstract

We present a framework for designing scores to summarize performance metrics. Our design has two multi-criteria objectives: (1) improving on scores should improve all performance metrics, and (2) achieving pareto-optimal scores should achieve pareto-optimal metrics. We formulate our design to minimize the dimensionality of scores while satisfying the objectives. We give algorithms to design scores, which are provably minimal under mild assumptions on the structure of performance metrics. This framework draws motivation from real-world practices in hospital rating systems, where misaligned scores and performance metrics lead to unintended consequences.

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Anmol Kabra, Mina Karzand, Tosca Lechner, Nati Srebro, and Serena Wang. Score Design for Multi-Criteria Incentivization. In 5th Symposium on Foundations of Responsible Computing (FORC 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 295, pp. 8:1-8:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{kabra_et_al:LIPIcs.FORC.2024.8,
  author =	{Kabra, Anmol and Karzand, Mina and Lechner, Tosca and Srebro, Nati and Wang, Serena},
  title =	{{Score Design for Multi-Criteria Incentivization}},
  booktitle =	{5th Symposium on Foundations of Responsible Computing (FORC 2024)},
  pages =	{8:1--8:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-319-5},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{295},
  editor =	{Rothblum, Guy N.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2024.8},
  URN =		{urn:nbn:de:0030-drops-200919},
  doi =		{10.4230/LIPIcs.FORC.2024.8},
  annote =	{Keywords: Multi-criteria incentives, Score-based incentives, Incentivizing improvement, Computational geometry}
}

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Score Design for Multi-Criteria Incentivization

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