Sustainable Artificial Intelligence through Continual Learning

TL;DR

This paper explores how Continual Learning can be a key approach to developing sustainable AI systems that adhere to ethical principles outlined in the Sustainable AI framework.

Contribution

It highlights the potential of Continual Learning as a practical method to implement Sustainable AI principles in real-world systems.

Findings

Continual Learning aligns with Sustainable AI principles.

It offers practical means to achieve ethical AI.

Supports development of compliant AI systems.

Abstract

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.