197 Lutiana Valadares Fernandes Barbosa and Juliana Moreira Mendonça black populations living far from radar sites and with low access to technology. AI systems also present sustainability issues regarding the consumption of natural resources, including electricity and water, and the carbon emissions involved in their development and use. The second case study identifies that AI systems contribute significantly to worsening the climate crisis by increasing high-carbon-emitting behaviors. Traditionally marginalized communities are also more likely to suffer the environmental impacts of their resource demands. To manage AI’s growing carbon footprint, data center operators must embrace sustainable data center investments and practices, which will require transparency, footprint standards, and public policies such as tax incentives to incentivize the expansion of clean energy grids. Among LLM models, AI can base its outputs both on implicitly biased and explicitly discriminatory data which might result in environmental racism. The lack of access to LLM apps can widen the digital gap, as traditionally marginalized communities remain in an invisible zone while those who have access to LLM apps might receive more information on environmental issues. The widespread development of AI needs to be grounded on human rights and supported by the necessary regulatory insight to enable sustainable development and avoid unintended effects, such as increasing environmental racism The Human Rights legal framework plays an important role in identifying and addressing the social impacts of artificial intelligence and ensuring accountability for these harms In this regard, it is essential to not only ensure that AI systems are rights-respecting by design, but also to guarantee that those who are impacted by these technologies are not only meaningfully involved in decision-making on how AI technology should be regulated, but also that their experiences are continually surfaced and are centered within these discussions (Nolan, Maryam, & Kleinman, 2024). REFERENCES Abbott, R. (2020). The Reasonable Robot: Artificial Intelligence and the Law. Cambridge, UK: Cambridge University Press.
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