ARTIFICIAL INTELLIGENCE FOR A GREENER TOMORROW: ADVANCING SUSTAINABILITY THROUGH SMART SOLUTIONS
ARTIFICIAL INTELLIGENCE FOR A GREENER TOMORROW: ADVANCING SUSTAINABILITY THROUGH SMART SOLUTIONS

Author(s): Adina-Ioana Hoza
Subject(s): Politics / Political Sciences, Politics, Environmental and Energy policy
Published by: Presa Universitara Clujeana
Keywords: artificial intelligence; climate change; sustainability; green economy; smart solutions
Summary/Abstract: As the climate crisis continues to visibly intensify, the integration of humanity’s breakthrough technology, artificial intelligence (AI), into our environmental strategies seems to offer promising solutions for overall global sustainability. This paper’s goal is to explores how AI can serve us as a catalyst in many shapes, by reducing carbon emissions, optimizing energy systems, enhancing agricultural efficiency, improving climate adaptation, and advancing circular economy practices. The new Technologies enable accurate real-time monitoring of environmental conditions, automated resource management, as well as precise forecasting of climate-related risk at even more accurate pace than before. Drawing on global case studies and recent policy developments, it highlights AI’s capacity to drive data-informed positive change. The research examines the already successful implementations across multiple sectors, from smart grid technologies in renewable energy distribution to even precision agriculture systems that minimize water and fertilizer usage. Additionally, AI-powered climate modelling has enhanced our understanding of complex environmental systems, enabling more accurate predictions and targeted interventions. However, we cannot deny that ethical concernssuch as high energy consumption, proven algorithmic bias, and misuse must be addressed to be able to ensure equitable and responsible implementation of it. This overall analysis considers the regulatory frameworks and international needed to harness AI's potential while mitigating its risks. Furthermore, the digital divide and accessibility issues must be addressed to ensure that AI-driven environmental solutions benefit all communities, particularly those most vulnerable to climate change impacts. The findings suggest that successful integration requires interdisciplinary collaboration between technologists, environmental scientists, policymakers, and communities. This approach is essential for developing AI usages that are not only technically sophisticated but also socially acceptable and environmentally beneficial. Ultimately, this paper argues that AI, when properly aligned with clear sustainability goals and robust governance to balance the downsides, can fill the gap between global ambition and actionable progress.

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