Georgina Curto Rex


  • 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.