The image reveals the intentional, coordinated social lives of animals, which are often invisible to humans. Because this richness is sometimes hidden beneath the surface, the oceans can be disrupted by noise pollution, mineral and rare element mining and contamination caused by AI development. The distortion aims to visually represent the impact of destructive AI developments that are often too easily justified by human ignorance and technological "progress".
Front & Back Cover Image: Distorted Fish School II by Lone Thomasky & Bits&Bäume / Better Images of AI / CC BY 4.0. ALT text: The image reveals the intentional, coordinated social lives of animals, which are often invisible to humans. Because this richness is sometimes hidden beneath the surface, the oceans can be disrupted by noise pollution, mineral and rare element mining and contamination caused by AI development. The distortion aims to visually represent the impact of destructive AI developments that are often too easily justified by human ignorance and technological "progress".

Contributors

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DOI

10.5281/zenodo.23666309

Suggested Citation

For citing the entire report:
Butalid, R., & Wright, C. (Eds.). (2026). The State of AI Ethics Report (Volume 8) – Power, Fracture, Resistance. Montreal AI Ethics Institute (MAIEI). DOI: 10.5281/zenodo.23666309. Available at: https://montrealethics.ai/state.

For citing individual pieces within the report:
[Author Surname], [Initials]. (2026). [Title of piece]. In R. Butalid & C. Wright (Eds.), The State of AI Ethics Report (Volume 8) – Power, Fracture, Resistance. pp. [xx-xx]. Montreal AI Ethics Institute (MAIEI). DOI: 10.5281/zenodo.23666309. Available at: https://montrealethics.ai/state.

Disclaimer

The views and opinions expressed in this report are those of the individual contributors and do not necessarily reflect the official policy or position of the Montreal AI Ethics Institute (MAIEI) or its affiliated organizations. The information contained in this report is for general informational purposes and should not be construed as professional advice. While every effort has been made to ensure accuracy, the Montreal AI Ethics Institute makes no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, or suitability of the information contained herein.

Copyright

This work is licensed open-access under a Creative Commons Attribution 4.0 International License.