Evaluating the use of artificial intelligence techniques in achieving environmental sustainability "Case Study"

 
 
The study is concerned with exploring the areas and mechanisms for using artificial intelligence technologies to achieve environmental sustainability, explaining the most important factors influencing the use of these technologies, evaluating the degree of their success in achieving environmental sustainability, and identifying the most prominent obstacles to activating them in companies.
Methodology and sample: The study uses a case study approach through a deliberate sample of four different sectors: “the technological sector, represented by Google, the e-commerce sector, represented by Amazon, the industrial sector, represented by Siemens, and the architectural sector,” given that these companies have employed artificial intelligence techniques in environmental sustainability. To identify the most prominent areas of using artificial intelligence technologies in environmental sustainability in these sectors.
Data collection tools: content analysis form to analyze the content of websites, reports, and newspaper articles of the companies under study, conducting in-depth interviews with four specialists in the field of environmental architecture.
The theoretical framework of the study: applying environmental management theory to the subject of the study, in addition to presenting a proposed model on how to employ artificial intelligence techniques in environmental sustainability.
The study reached many results, the most important of which are: multiple areas of activating artificial intelligence techniques in environmental sustainability, represented in several sectors, such as the technological sector, through developing products that help lead a more sustainable life, investing in renewable energy, issuing applications or features in new electronic programs to help in Choosing sustainable paths for the environment, the sector related to e-commerce and the industrial sector by enhancing agricultural crop management, environmentally friendly design and green products, managing the carbon footprint of products, and implementing smart software’s, and finally the architectural sector through generative design, data processing, and the use of sustainable materials, Simulate and test designs, manage projects and schedules, improve quality and safety, improve energy efficiency and resource use, utilize solar energy and water recycling, thermal insulation, and AI-powered software designed to monitor, forecast, and address weather and climate impacts.

The most prominent advantages and obstacles of applying artificial intelligence techniques to environmental sustainability, especially in Egypt, are: saving energy and making good use of resources; quickly completing the design of buildings; and providing various solutions to choose the best design decision. Buildings have become decision-makers related to sustainability.
The most important obstacles to implementation and use, especially in Egypt, are: the lack of prepared infrastructure for such sustainable buildings; the lack of human competencies specialized in the field of artificial intelligence in environmental sustainability to ensure its effectiveness; and the high cost of maintenance.
Artificial intelligence technologies in environmental sustainability threaten a number of jobs in the future.