Artificial Intelligence based Sustainable Decision Intelligence for Climate Action

Abstract

This paper proposes a Sustainable Decision Intelligence (SDI) framework to address the limitations of traditional climate policy through AI-driven analytics. By reviewing literature from 2020–2026, the study examines the impact of Artificial Intelligence (AI) on climate forecasting, energy optimization, and biodiversity monitoring, categorizing these tools into predictive, optimization, and policy intelligence layers. While acknowledging critical hurdles like data bias and computational energy costs, the research argues that integrating AI into socio-economic and governance subsystems can accelerate net-zero progress. Ultimately, the paper concludes that human-centered AI is essential for fostering accountable, systemic climate resilience.