Georgina Curto Rex

Website

• Article

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

  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.

• Article

  An Agent-Based Model for Poverty and Discrimination Policy-Making

  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.

• Article

  Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor

  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.

• Article

  SAF: Stakeholders’ Agreement on Fairness in the Practice of Machine Learning Development

  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.