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The environmental impacts of artificial intelligence (AI) may vary significantly. Many deep learning methods have significant carbon footprints and water usage. [1] Some scientists have suggested that artificial intelligence may provide solutions to environmental problems.
ARIES seeks to integrate scientific data and models that simulate environmental and socioeconomic systems to address linked scientific modelling problems, [6] through semantics (computer science), [7] FAIR data and models, [8] and an open-source software infrastructure called Knowledge Laboratory (k.LAB) to semantically describe, code, and distribute data and models for end-users, modellers ...
The AI in education community has grown rapidly in the global north. [17] Currently, there is much hype from venture capital, big tech and convinced open educationalists. AI in education is a contested terrain. Some educationalists believe that AI will remove the obstacle of "access to expertise". [18]
Science, technology, society and environment (STSE) education, originates from the science technology and society (STS) movement in science education. This is an outlook on science education that emphasizes the teaching of scientific and technological developments in their cultural, economic, social and political contexts.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
The evolution of AI in education and technology should be used to improve human capabilities in relationships where they do not replace humans. UNESCO recognizes the future of AI in education as an instrument to reach Sustainable Development Goal 4, called "Inclusive and Equitable Quality Education.” [54]
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