A Norm Optimisation Approach to SDGs: Tackling Poverty by Acting on Discrimination

Georgina Curto, Nieves Montes, Flavio Comim, Nardine Osman, Carles Sierra

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

2 Cites (Scopus)

Resum

Policies that seek to mitigate poverty by acting on equal opportunity have been found to aggravate discrimination against the poor (aporophobia), since individuals are made responsible for not progressing in the social hierarchy. Only a minority of the poor benefit from meritocracy in this era of growing inequality, generating resentment among those who seek to escape their needy situations by trying to climb up the ladder. Through the formulation and development of an agent-based social simulation, this study aims to analyse the role of norms implementing equal opportunity and social solidarity principles as enhancers or mitigators of aporophobia, as well as the threshold of aporophobia that would facilitate the success of poverty-reduction policies. The ultimate goal of the social simulation is to extract insights that could help inform and guide a new generation of policy making for poverty reduction by acting on the discrimination against the poor, in line with the UN “Leave No One Behind” principle. An “aporophobia-meter” will be developed and guidelines will be drafted based on both the simulation results and a review of poverty reduction policies at regional levels.

Idioma originalAnglès
Títol de la publicacióProceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022
EditorsLuc De Raedt, Luc De Raedt
EditorInternational Joint Conferences on Artificial Intelligence
Pàgines5228-5235
Nombre de pàgines8
ISBN (electrònic)9781956792003
Estat de la publicacióPublicada - 2022
Esdeveniment31st International Joint Conference on Artificial Intelligence, IJCAI 2022 - Vienna, Austria
Durada: 23 de jul. 202229 de jul. 2022

Sèrie de publicacions

NomIJCAI International Joint Conference on Artificial Intelligence
ISSN (imprès)1045-0823

Conferència

Conferència31st International Joint Conference on Artificial Intelligence, IJCAI 2022
País/TerritoriAustria
CiutatVienna
Període23/07/2229/07/22

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