@inproceedings{
moorosi2023ai,
title={{AI} for Whom? Shedding Critical Light on {AI} for Social Good},
author={Nyalleng Moorosi and Raesetje Sefala and Sasha Luccioni},
booktitle={NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory to Deployment},
year={2023},
url={https://openreview.net/forum?id=vjwYYlA8Pj}
}
In recent years, AI for Social Good (AI4SG) projects have grown in scope and popularity, covering a variety of topics from climate change to education and being the subject of numerous workshops and conferences at a global scale. In the current article, we reflect upon AI4SG, its definition and its current limitations. We propose ways to address these limitations, from connecting with relevant disciplines to a better consideration of the constraints and context of project deployment. We conclude with a proposal to refocus the field of AI4SG around the concept of sustainability from a variety of angles, arguing that this will help the field evolve while taking its own impacts into account.
AI for Whom? Shedding Critical Light on AI for Social Good
Nyalleng Moorosi Raesetje Sefala Sasha Luccioni