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VOL. 9, ISSUE 1 (2024)
A critical review of trusted environmental intelligence using cloud, blockchain, and generative AI
Authors
Haradhan Mardi
Abstract
Environmental Intelligence (EI) has become a crucial field for tackling
complex ecological issues of the Anthropocene. It utilises large datasets to
guide policy, conservation, and sustainable development. The combination of
Cloud Computing, Blockchain Technology, and Generative Artificial Intelligence
(GenAI) introduces a new concept called "Trusted Environmental
Intelligence," a system aimed at ensuring data integrity, transparency,
and meaningful insights. This review critically evaluates the promises and
actual limitations of this technological mix. It shows that, while these
technologies offer significant potential for scalable processing, immutable
data records, and advanced synthetic modelling, they also face serious
problems, including high energy use, governance issues, algorithmic bias, and
the challenge of balancing decentralisation with regulation. By examining
current research and identifying key gaps, this article argues that building
truly trusted EI is more of a social and technical challenge than just a
technological one, requiring a shift from quick fixes to a framework rooted in
critical data studies and environmental justice.
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Pages:38-43
How to cite this article:
Haradhan Mardi "A critical review of trusted environmental intelligence using cloud, blockchain, and generative AI". International Journal of Advanced Science and Research, Vol 9, Issue 1, 2024, Pages 38-43
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