Evaluating the role of environment management system based on artificial intelligence. (2022)

• Record Type: Journal Article
• Authors: Ansari, Shagufta Parveen M.A.; Odongo, Joseph Oduor; Nomani, M.Z.M.; Salahuddin, Ghazal; Hasan, Mohammed Faez; Pallathadka, Laxmi Kirana
• Is Part Of: Materials today. Volume 56:Part 4(2022)
• Page Start: 2240
• Page End: 2244
• Publication Date: 2022
• Subjects: Artificial intelligence (AI) -- Environment -- Management -- Sustainable -- Ecological -- Development; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.11.571
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: The rise of artificial intelligence (AI) and its increasingly broad impact on various industries necessitates an examination of its impact on the accomplishment of the Sustainable Development Goals. We discovered, to use a consensus-based expert information gathering method, that AI may facilitate the achievement of objectives throughout all objectives, but it can also hinder aims. However, present study priorities neglect critical issues. AI's rapid progress must be accompanied with the appropriate legislative understanding and supervision for AI-based technologies that enable long growth. Neglect to do so may results in inconsistencies in openness, safety, and ethical norms. Appropriate environmental management is a crucial element in the optimal use of energies. Environmental management increases the standard for process innovation. If a substitute is employed, the environmental management transition, from ecologically to actuality, must be accompanied by sustainable economic growth. Through environmental and economic policies, as well as market administration, the assets management systems understand the main advantages of the ecological environment. Existing protection of the environment quantifies and environmental management strategies centered on (Field Programmable Gate Arrays) FPGA-based machine having to learn environmental ecological significance overview of fast development must construct an ecological compensatory method via current FPGA environmental administration.