AI and Sustainability is an expanding interdisciplinary field within the Humanities, increasingly relevant worldwide. Organizations across sectors have published guidelines for human-centered AI systems that promote environmental, social, and economic sustainability through ethical principles and regulatory frameworks, including support for environmental education and digital literacy. However, Latin America and the Global South remain underrepresented in these discussions, which are dominated by the US, EU, and Commonwealth countries. This paper addresses this gap by advocating for digital public policies, ethical and legal consultancy for AI developers, and hybrid models combining normative-ethical frameworks (teleological, utilitarian, deontological, and emotivist) with practical ethical guardrails. Instead of relying solely on universal principles or top-down approaches, context-specific, bottom-up perspectives are essential. As Strubell et al. (2019) and Falk and van Wynsberghe (2023) highlight, sustainability challenges in AI include energy and resource consumption, workforce conditions, and lifecycle impacts. Addressing these requires morally responsible AI practices that integrate governance and sustainability.