AI for Whom? Shedding Critical Light on AI for Social Good

Abstract

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.

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Cite

Text

Moorosi et al. "AI for Whom? Shedding Critical Light on AI for Social Good." NeurIPS 2023 Workshops: CompSust, 2023.

Markdown

[Moorosi et al. "AI for Whom? Shedding Critical Light on AI for Social Good." NeurIPS 2023 Workshops: CompSust, 2023.](https://mlanthology.org/neuripsw/2023/moorosi2023neuripsw-ai/)

BibTeX

@inproceedings{moorosi2023neuripsw-ai,
  title     = {{AI for Whom? Shedding Critical Light on AI for Social Good}},
  author    = {Moorosi, Nyalleng and Sefala, Raesetje and Luccioni, Sasha},
  booktitle = {NeurIPS 2023 Workshops: CompSust},
  year      = {2023},
  url       = {https://mlanthology.org/neuripsw/2023/moorosi2023neuripsw-ai/}
}