Sustainable Artificial Intelligence through Continual Learning
| Autor: | Cossu, A., Ziosi, M., Lomonaco, V. |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
continual-learning Computer Science - Machine Learning ComputingMethodologies_PATTERNRECOGNITION Artificial Intelligence (cs.AI) sustainable-ai Computer Science - Artificial Intelligence sustainable-ai continual-learning lifelong-learning lifelong-learning GeneralLiterature_MISCELLANEOUS Machine Learning (cs.LG) |
| DOI: | 10.48550/arxiv.2111.09437 |
| Popis: | 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. Comment: Accepted at the 2021 International Conference on AI for People (CAIP) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|