Sustainable Artificial Intelligence through Continual Learning
This work addresses the problem of making AI more ethical and sustainable for researchers and practitioners, but it is incremental as it connects existing concepts without new empirical results.
The paper identifies Continual Learning as a promising approach to implement Sustainable AI principles, aiming to design AI systems that comply with ethical guidelines for sustainability.
The increasing attention on Artificial Intelligence (AI) regulation has led to the definition of a set of ethical principles grouped into the Sustainable AI framework. In this article, we identify Continual Learning, an active area of AI research, as a promising approach towards the design of systems compliant with the Sustainable AI principles. While Sustainable AI outlines general desiderata for ethical applications, Continual Learning provides means to put such desiderata into practice.