Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Curto, Georgina"'
In recent years, computational improvements have allowed for more nuanced, data-driven and geographically explicit agent-based simulations. So far, simulations have struggled to adequately represent the attributes that motivate the actions of the age
Externí odkaz:
http://arxiv.org/abs/2408.09407
In the last decades, there has been a deceleration in the rates of poverty reduction, suggesting that traditional redistributive approaches to poverty mitigation could be losing effectiveness, and alternative insights to advance the number one UN Sus
Externí odkaz:
http://arxiv.org/abs/2403.01600
Social networks contribute to the distribution of social capital, defined as the relationships, norms of trust and reciprocity within a community or society that facilitate cooperation and collective action. Social capital exists in the relations amo
Externí odkaz:
http://arxiv.org/abs/2305.03223
The criminalization of poverty has been widely denounced as a collective bias against the most vulnerable. NGOs and international organizations claim that the poor are blamed for their situation, are more often associated with criminal offenses than
Externí odkaz:
http://arxiv.org/abs/2303.14128
Publikováno v:
Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022) co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022), Saarbr\"ucken, Germany, December 14, 2022
The deceleration of global poverty reduction in the last decades suggests that traditional redistribution policies are losing their effectiveness. Alternative ways to work towards the #1 United Nations Sustainable Development Goal (poverty eradicatio
Externí odkaz:
http://arxiv.org/abs/2303.13994
Autor:
Curto, Georgina, Comim, Flavio
This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes an end-to-end methodology to translate the ethical principle of justice and fairness into the practice of ML development as an ongoing agreement with s
Externí odkaz:
http://arxiv.org/abs/2304.06031
Autor:
Curto, Georgina1 (AUTHOR) gcurtore@nd.edu, Comim, Flavio2 (AUTHOR)
Publikováno v:
Science & Engineering Ethics. Aug2023, Vol. 29 Issue 4, p1-19. 19p.
Publikováno v:
AI & Society; Apr2024, Vol. 39 Issue 2, p617-632, 16p
Link recommendation algorithms contribute to shaping human relations of billions of users worldwide in social networks. To maximize relevance, they typically propose connecting users that are similar to each other. This has been found to create infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfe5f60d4c5ca7a95cd1044762d1aecd
http://arxiv.org/abs/2305.03223
http://arxiv.org/abs/2305.03223
Autor:
Curto G; Universitat Ramon Llull, IQS School of Management, Barcelona, Spain.; Universitat Autònoma de Barcelona, EINA Centre Universitari de Disseny i Art, Barcelona, Spain., Jojoa Acosta MF; eVida Research Laboratory, University of Deusto, Bilbao, Spain., Comim F; Universitat Ramon Llull, IQS School of Management, Barcelona, Spain., Garcia-Zapirain B; eVida Research Laboratory, University of Deusto, Bilbao, Spain.
Publikováno v:
AI & society [AI Soc] 2022 Jun 28, pp. 1-16. Date of Electronic Publication: 2022 Jun 28.