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The science and practice of proportionality in AI risk evaluations

20260 citationsJournal Articlegreen Open Access

Authors

Carlos Mougán · European Union

Lauritz Morlock · European Union

Jair Aguirre · RAND Corporation

James R. M. Black · Johns Hopkins Center for Health Security

Jan Brauner · European Union

Siméon Campos · Safran (France)

Sunishchal Dev ·

Abstract

AI evaluations should provide meaningful risk information without imposing excessive burden.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Publication Details

Published in: Science

Volume 391, Issue 6787, pp. 769-771

DOI: 10.1126/science.aea3835

Field-Weighted Citation Impact: 0.00

The science and practice of proportionality in AI risk evaluations | Researchclopedia

RAND Corporation

David Fernández Llorca · Joint Research Center

Alberto Franzin · European Union

Mario Fritz · Helmholtz Center for Information Security

Emilia Gómez · Joint Research Center

Friederike Grosse-Holz · European Union

Eloise Hamilton · European Union

Max Hasin · European Union

José Hernández-Orallo · University of Cambridge

Dan Lahav · San Francisco State University

Luca Massarelli · European Union

Vasilios Mavroudis · The Alan Turing Institute

Malcolm Murray · Safran (France)

Patricia Paskov · RAND Corporation

Jaime Raldua · Vaxart (United States)

Wout Schellaert · European Union