Abstract
Artificial intelligence has proven its effectiveness through many applications in society: medical diagnostics, e-commerce, robot control and remote sensing. It has been able to advance many fields and industries including finance, education, transportation and others. In this review article, the method adopted consists first of all in collecting and analyzing all the data making it possible to certify the existence of a varying impact of artificial intelligence on the environment and the sustainable development, through the description of the contributions of AI at the level of several approaches carried out and projects carried out recently. Secondly, we drew from the different levels of differential paradigms cited in the first part, a synthesis, a critical point of view, as well as the perspectives that the feedbacks to the various points raised in the critical vision create, in particular those related to the limits of artificial intelligence and its implications for sustainable development.
Highlights
Nowadays, Artificial Intelligence (AI) flourishes in a daily basis in both, the public sector and the private sector
Sustainable development can benefit from artificial intelligence (Peter Addo,2020), in particular by optimizing energy and transport networks, improving the efficiency of certain activities and by making more precise forecasts to increase the potential and support for decision-making
They train them on a single microprocessor each day from large amounts of data to calculate the amount of electricity needed, multiply the result by the number of hours and the microprocessor used in the machine
Summary
Artificial Intelligence (AI) flourishes in a daily basis in both, the public sector (administrations, research centers, universities, etc...) and the private sector (companies, design offices, etc...). Artificial Intelligence is defined as machines or programs capable of performing tasks that are normally carried out by human intelligence (Marvin Minsky,2019):. This includes calculating, learning and adapting to new situations, processing very large data sets, making predictions, all based on machine learning and deep learning. Using relatively basic equipment to train deep learning models in a reasonable amount of time. These models are based on multilayer neural networks and can learn to represent high level information of data abstraction. It may not seem obvious to the general public, but artificial intelligence technology can make a positive contribution to the environment. As underlined in particular by our article, the main goal of which is, to compile a set of data, studies and experiences affirming this positive correlation between AI and sustainable development
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