https://ejournal.jthkkss.com/index.php/jthkkss <div class="elementor-element elementor-element-mdn7b1v elementor-widget elementor-widget-text-editor" data-id="mdn7b1v" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <div class="elementor-text-editor elementor-clearfix"> <p>An international research journal that invites original articles.</p> </div> </div> </div> <div class="elementor-element elementor-element-83ap3ck elementor-widget elementor-widget-heading" data-id="83ap3ck" data-element_type="widget" data-widget_type="heading.default"> <div class="elementor-widget-container"> <h4 class="elementor-heading-title elementor-size-default">Journal of Technology and Humanities (J TECHNOL HUM)</h4> </div> </div> <div class="elementor-element elementor-element-x1twvni elementor-widget elementor-widget-text-editor" data-id="x1twvni" data-element_type="widget" data-widget_type="text-editor.default"> <div class="elementor-widget-container"> <div class="elementor-text-editor elementor-clearfix"> <p>The J TECHNOL HUM is an international research journal that invites original articles. The journal aims to provide an international forum for the presentation of original fundamental research, interpretative reviews and discussion of new developments in the area of technology. This journal also aims to publish high-quality peer-reviewed research articles in the fields shown below (not limited to) : Education, Islamic Studies, Business and Management, Language and Linguistics, Communication and Media, Environmental Studies, Psychology and Sociology, Policies and Government Studies.</p> <p>J TECHNOL HUM is published online with a frequency of TWO (2) issues per year (July and December). Besides that, special issues of J TECHNOL HUM will be published non-periodically from time to time.</p> </div> </div> </div> Kolej Komuniti Sungai Siput en-US Journal of Technology and Humanities 2710-6357 https://ejournal.jthkkss.com/index.php/jthkkss/article/view/219 <p>The escalating threat of global environmental emergencies—driven by extreme climate volatility and the rapid depletion of biodiversity—forces a critical departure from rigid conservation models toward highly responsive, adaptive ecosystem governance. While artificial intelligence (AI) rapidly accelerates this operational shift by providing exceptionally advanced tools for sustainability, the functional deployment of these systems simultaneously generates deeply complicated ecological trade-offs. This scoping review systematically examines the contradictory environmental impacts inherent to AI-directed ecological management to properly contextualize this tension. We weigh the immediate operational advantages of algorithmic systems directly against their total life-cycle environmental toll, synthesizing broad interdisciplinary literature published between 2018 and 2026 while maintaining strict compliance with PRISMA reporting standards. The active integration of AI networks with Internet of Things (IoT) sensor arrays—according to our evaluation—makes continuous, real-time environmental surveillance and highly predictive biodiversity tracking functionally possible. Sophisticated machine learning algorithms refine Life Cycle Assessments (LCA) to yield highly precise carbon footprint calculations; meanwhile, the deployment of physics-informed edge computing actively supports autonomous, decentralized pollution control. These mitigation advantages, however, are severely offset by the vast computational energy required to train such models, alongside the intensive extraction of regional water resources and the exponential generation of electronic waste. This analysis determines that deploying algorithms without strict regulation carries the severe risk of entrenching techno-solutionism, thereby worsening an already severe carbon paradox. Ensuring these digital technologies actively support ecologically grounded environmental stewardship requires the immediate implementation of globally standardized computational carbon accounting protocols, alongside stringent corporate oversight, to unlock genuine sustainability yields.&nbsp;</p> Hongzhi Lu Hongxue Lu Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-sa/4.0 2026-03-29 2026-03-29 7 1 1 12 10.53797/jthkkss.v7i1.1.2026