# Sustainable Artificial Intelligence through Continual Learning

arXiv: https://arxiv.org/abs/2111.09437 · HTML: https://mlsanity.com/paper/2111.09437/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 17 references that are in the map.
- First posted on arXiv 17 Nov 2021.

## Builds on (most cited first, 6 of 6)

- [Avalanche: an End-to-End Library for Continual Learning](https://mlsanity.com/paper/2104.00405/) (2021)
- [Continuous Learning in Single-Incremental-Task Scenarios](https://mlsanity.com/paper/1806.08568/) (2018)
- [Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges](https://mlsanity.com/paper/1907.00182/) (2019)
- [Continual Learning for Recurrent Neural Networks: an Empirical Evaluation](https://mlsanity.com/paper/2103.07492/) (2021)
- [Continuous online sequence learning with an unsupervised neural network model](https://mlsanity.com/paper/1512.05463/) (2015)
- [Online Continual Learning on Sequences](https://mlsanity.com/paper/2003.09114/) (2020)

## Built on by (most cited first, 4 of 4)

- [CL2R: Compatible Lifelong Learning Representations](https://mlsanity.com/paper/2211.09032/) (2022)
- [Contrastive Supervised Distillation for Continual Representation Learning](https://mlsanity.com/paper/2205.05476/) (2022)
- [Continual Learning with Deep Streaming Regularized Discriminant Analysis](https://mlsanity.com/paper/2309.08353/) (2023)
- [Recommendation of data-free class-incremental learning algorithms by simulating future data](https://mlsanity.com/paper/2403.18132/) (2024)

## Abstract (arXiv)

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.
