187 Lutiana Valadares Fernandes Barbosa and Juliana Moreira Mendonça tive research was conductedmainly through bibliographic review Its results were analyzed using the hypothetical-deductivemethod. The three concrete cases presented were also the basis for reflection using the inductive method. This chapter will start by providing three of the areas inwhich AI relates to environmental racism: carbon footprint, discriminatory content, and disaster relief and prevention. It then discusses the IA environment and racism and its ambiguous relation. Next, it reflects on sustainable future IA and measures to counter environmental racism. 1. IA ENVIRONMENT AND RACISM: AN AMBIGUOUS RELATION? THREE AREAS OF INTERSECTION a. Data-driven environmental initiatives and AI At the United Nations Environmental Assembly, it has been argued that “A global digital ecosystem for the environment has the potential to put us on a path toward a sustainable future”. It has been acknowledged the ongoing AI environmental monitoring and the need for adequate safeguards to address the risks posed by technology (United Nations Environment Assembly, 2019). AI technologies have enabled the development of programs that aid disaster relief and prevention, which might aid communities in having earlier warnings on forthcoming extreme weather events and the need to evacuate, and on a post-event strategy to rescue lives. An example of those programs is Google GraphCast, which is an AI-based weather simulator that aims at faster and more accurate weather forecasts. It is capable of predicting 10 days in advance extreme weather events, and tracks of cyclones, flooding, and thus saving lives (Lam, 2023). Another example of AI program, xView2 uses machine learning techniques to analyze satellite images of constructions before and after disasters (such as dam collapses, wildseeks to analyses inequalities which lie at the heart of development problems and redress discriminatory practices and unjust distributions of power that impede development progress and often result in groups of people being left behind.”
RkJQdWJsaXNoZXIy MjEzNzYz