No AgreementWithout Loss: Learning and Social Choice in Peer Review

Pablo Barceló, Mauricio Duarte, Cristobal Rojas, Tomasz Steifer

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

In peer review systems, reviewers are often asked to evaluate various features of submissions, such as technical quality or novelty. A score is given to each of the predefined features and based on these the reviewer has to provide an overall quantitative recommendation. It may be assumed that each reviewer has her own mapping from the set of features to a recommendation, and that different reviewers have different mappings in mind. This introduces an element of arbitrariness known as commensuration bias. In this paper we discuss a framework, introduced by Noothigattu, Shah and Procaccia, and then applied by the organizers of the AAAI 2022 conference. Noothigattu, Shah and Procaccia proposed to aggregate reviewer's mapping by minimizing certain loss functions, and studied axiomatic properties of this approach, in the sense of social choice theory. We challenge several of the results and assumptions used in their work and report a number of negative results. On the one hand, we study a trade-off between some of the axioms proposed and the ability of the method to properly capture agreements of the majority of reviewers. On the other hand, we show that dropping a certain unrealistic assumption has dramatic effects, including causing the method to be discontinuous.

Idioma originalInglés
Título de la publicación alojadaECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings
EditoresKobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu
EditorialIOS Press BV
Páginas190-197
Número de páginas8
ISBN (versión digital)9781643684369
DOI
EstadoPublicada - 28 sep. 2023
Evento26th European Conference on Artificial Intelligence, ECAI 2023 - Krakow, Polonia
Duración: 30 sep. 20234 oct. 2023

Serie de la publicación

NombreFrontiers in Artificial Intelligence and Applications
Volumen372
ISSN (versión impresa)0922-6389

Conferencia

Conferencia26th European Conference on Artificial Intelligence, ECAI 2023
País/TerritorioPolonia
CiudadKrakow
Período30/09/234/10/23

Áreas temáticas de ASJC Scopus

  • Inteligencia artificial

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