Algorithmic Climate Justice

This chapter explores how algorithmic biases in AI systems worsen climate injustices in the Global South. It highlights issues like data and selection bias, data colonialism, and the unequal control of digital infrastructure by the Global North. These dynamics lead to environmental harm, labor exploitation, and the marginalization of indigenous communities. While AI offers promise for climate action, its current deployment often reinforces global inequalities. The chapter calls for inclusive, ethical AI governance grounded in justice to ensure equitable and empowering climate solutions for vulnerable populations.