Using AI bias for good: poverty and inequality mitigation
Abstract: The talk is framed in the AI for Good interdisciplinary area of work, which seeks to direct AI research towards the advancement of the United Nations Sustainable Development Goals. In particular, I will be presenting lines of research in AI-enabled tools that aim to open new paths for poverty reduction by acting on social discrimination. While bias mitigation in AI has generated an important body of publications, we argue that online bias can be useful to identify and measure shared beliefs that influence social policy making. In this talk, I will outline research directions that aim to generate a global index on discrimination against the poor (through NLP and LLMs), and to optimize poverty-mitigation policies via AI simulations (Agent-Based Modeling).
Short bio: Georgina Curto is an Assistant Research Professor at the Lucy Family Institute for Data and Society, University of Notre Dame. She chairs the IJCAI Symposia in the Global South and co-chairs the AI & Social Good Special Track at the International Joint Conference on Artificial Intelligence (IJCAI'23). Focusing on issues of poverty mitigation, fairness and inclusion, she works on the design and use of AI socio-technical systems (including NLP, Agent-Based Modeling, Social Networks, Machine Learning and GenAI) to advance interdisciplinary research towards the achievement of the UN Sustainable Development Goals (SDGs).
Presenter: Asst. Res. Prof. Giorgina Curto Rex, Lucy Family Institute for Data & Society, University of Notre Dame, (Notre Dame, United States)
Date: 2024-07-11 12:00 (CEST)
Location: Distrito Digital 5, Muelle Pte., 5 – Edificio D, Alicante 03001, Alicante ES
This talk is part of the Distinguishes Lectures Mini-Workshop.