The Submerged Part of the AI-Ceberg

作     者：Couillet, Romain Trystram, Denis Menissier, Thierry 

作者机构：Univ Grenoble Alpes Grenoble Informat Lab F-38400 St Martin Dheres France Univ Grenoble Alpes Grenoble Inst Philosophy F-38400 St Martin Dheres France 

出 版 物：《IEEE SIGNAL PROCESSING MAGAZINE》 (IEEE Signal Process Mag)

年 卷 期：2022年第39卷第5期

页      面：10-17页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：University of Grenoble Alpes 

主　　题：Social factors Climate change Information and communication technology Artificial intelligence Signal processing algorithms Deep learning Neural networks Resilience 

摘      要：This article discusses the contradiction between the exploding energy demand of artificial intelligence (AI) and the information and communication (ICT) industry as a whole and the parallel strong request for energy sobriety imposed by the need to mitigate the impact of climate change and the anticipated collapse of civilization as we know it. Under the form of an open reflection on the goods and evils of AI, the article raises the suggestion of a drastic change in the AI paradigm, more in phase with the vital obligation to design a more resilient society.