Artificial Intelligence Changing Perspectives towards Sustainable Development
Abstract: Artificial intelligence is a potent instrument for the promotion of sustainable development. It provides a range of answers to the most urgent global issues, including as social inequality, resource scarcity, and climate change. Artificial Intelligence has a significant impact on solving environmental problems. AI is used in climate modelling and prediction to comprehend the intricate processes of climate change. Artificial intelligence (AI)-powered systems maximise renewable energy sources, improving the energy sector's sustainability and efficiency. Additionally, AI controls energy use in smart buildings, cutting expenses and emissions. Precision agriculture is a farming technique that maximises crop production while saving resources by utilising sensors and data analytics. While AI can monitor threatened species and protect habitats in the field of wildlife conservation. In a similar vein, AI-enabled marine ecosystem monitoring protects the health of the ocean and the hazards involved. Artificial intelligence (AI)-powered sensor networks safeguard ecosystems and public health by improving the quality of air and water. Furthermore, recycling and trash management have been transformed, decreasing landfill waste and boosting resource efficiency. AI helps carbon capture and sequestration (CCS) by optimising conditions and materials, which lowers carbon emissions and improves environmental sustainability. Not to add, early warning systems powered by AI help with disaster preparedness and reaction. Hiring the best staff to support this is crucial since artificial intelligence technology is ultimately at the forefront of efforts to create a greener, more sustainable future.
Institutions
- Massachusetts Academy of Math and Science at WPI (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-07
- DOI
- https://doi.org/10.5281/zenodo.13852636
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00