Georgina Curto Rex
By: Flavio Comim, Georgina Curto Rex, Nieves Montes, Nardine Osman, Carles Sierra
Appeared In: Proceedings of the 31st International Joint Conference on Artificial Intelligence
This paper describes how AI can provide new insights to mitigate poverty by using the technique of Agent Based Modeling.
By: Georgina Curto Rex, Nieves Montes, Nardine Osman, Carles Sierra
Appeared In: AMPM 2022: 2nd Workshop in Agent-based Modeling & Policy-Making
This article describes the architecture of an Agent-Based Model (AI) that will generate simulations showing the impact that potential changes in the law would have on poverty levels.
By: Georgina Curto Rex, Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi
Appeared In: ACL Anthology
While many types of hate speech and online toxicity have been the focus of extensive research in NLP, toxic language stigmatizing poor people has been mostly disregarded. This paper shines light on the issue, starting with an examination of Twitter posts.
By: Flavio Comim, Georgina Curto Rex
Appeared In: Science and Engineering Ethics
This paper clarifies why bias can’t be completely mitigated in machine learning (ML) and proposes an end-to-end methodology to translate the principle of justice and fairness into the practice of ML development as an ongoing agreement with stakeholders.