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

Starkey, Andrew; Ezenkwu, Chinedu Pascal

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