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Advancing AI with green practices and adaptable solutions for the future. [Article summary]

Starkey, Andrew; Ezenkwu, Chinedu Pascal

Authors

Andrew Starkey



Abstract

Despite AI's achievements, how can its limitations be addressed to reduce computational costs, enhance transparency and pioneer eco-friendly practices?

Citation

STARKEY, A. and EZENKWU, C.P. 2024. Advancing AI with green practices and adaptable solutions for the future. [Article summary]. Posted on The Academic [online], 28 March 2024. Available from: https://theacademic.com/ai-green-practices-adaptable-solutions/

Digital Artefact Type Website Content
Online Publication Date Mar 28, 2024
Publication Date Mar 28, 2024
Deposit Date Apr 2, 2024
Publicly Available Date Apr 4, 2024
Keywords Artificial intelligence (AI); Machine learning; Computing and the environment
Public URL https://rgu-repository.worktribe.com/output/2293505
Publisher URL https://theacademic.com/ai-green-practices-adaptable-solutions/
Related Public URLs https://rgu-repository.worktribe.com/output/1982490 (Original paper)
Additional Information This is a summary of the following paper: STARKEY, A. and EZENKWU, C.P. 2023. Towards autonomous developmental artificial intelligence: case study for explainable AI. In Maglogiannis, I., Iliadis, L., MacIntyre, J. and Dominguez, M. (eds.) Artificial intelligence applications and innovations: proceedings of the 19th IFIP (International Federation for Information Processing) WG 12.5 Artificial intelligence applications and innovations international conference (AIAI 2023), 14-17 June 2023, León, Spain. IFIP advances in information and communication technology, 676. Cham: Springer [online], pages 94-105. Available from: https://doi.org/10.1007/978-3-031-34107-6_8

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