A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Abercrombie, G.; Benbouzid, D.; Giudici, P.; Golpayegani, D.; Hernandez, J.; Noro, P.; Pandit, H.; Paraschou, E.; Pownall, C.; Prajapati, J.; Sayre, M. A.; Sengupta, U.; Suriyawongkul, A.; Thelot, R.; Vei, S.; Waltersdorfer, L.

doi:10.48550/arXiv.2407.01294

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Where content in the ai datachain type is adapted from external research, the source is documented here with its full citation and any additional license terms.

Risks taxonomy (`ai__risks_mitigation`)

The risk taxonomy in the AI schema is adapted from the AIAAIC Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms. AIAAIC's 9 harm types — Autonomy, Physical, Psychological, Reputational, Financial & Business, Human Rights & Civil Liberties, Societal & Cultural, Political & Economic, Environmental — organize the DTPR risk category from the victim's perspective: what could happen to a person, not where the failure originates in the system.

Abercrombie, G., Benbouzid, D., Giudici, P., Golpayegani, D., Hernandez, J., Noro, P., Pandit, H., Paraschou, E., Pownall, C., Prajapati, J., Sayre, M. A., Sengupta, U., Suriyawongkul, A., Thelot, R., Vei, S., & Waltersdorfer, L. (2024). A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms. arXiv preprint. arXiv:2407.01294 . https://doi.org/10.48550/arXiv.2407.01294

License: CC BY-SA 4.0

BibTeX

@misc{aiaaic2024,
  title        = {A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms},
  author       = {Abercrombie, Gavin and Benbouzid, Djallel and Giudici, Paolo and Golpayegani, Delaram and Hernandez, Julio and Noro, Pierangela and Pandit, Harshvardhan and Paraschou, Eva and Pownall, Charlie and Prajapati, Jyoti and Sayre, Mark A. and Sengupta, Ushnish and Suriyawongkul, Arthit and Thelot, Renee and Vei, Sofia and Waltersdorfer, Laura},
  year         = {2024},
  eprint       = {2407.01294},
  archivePrefix= {arXiv},
  primaryClass = {cs.LG},
  doi          = {10.48550/arXiv.2407.01294},
  url          = {https://doi.org/10.48550/arXiv.2407.01294},
  note         = {Licensed CC BY-SA 4.0}
}

License confirmed on the arXiv paper and the OECD.AI catalog entry for the AIAAIC Repository. The living taxonomy and its underlying incident database (1,500+ documented incidents as of mid-2024) are maintained at aiaaic.org.

License summary

Surface	License
DTPR icons, taxonomy, Design Guide (standard)	CC BY 4.0
DTPR for AI documentation (this site), MCP server, REST API, `@dtpr/ui`	CC BY 4.0
Risk elements adapted from AIAAIC in the `ai__risks_mitigation` category	CC BY-SA 4.0 (inherited from AIAAIC)
Material Symbols incorporated into icons	Apache License 2.0

The ShareAlike clause on AIAAIC-derived content is scoped to the risk-taxonomy content itself. Downstream users who redistribute or modify the ai__risks_mitigation element definitions must distribute their modifications under CC BY-SA 4.0. The rest of DTPR for AI remains CC BY 4.0.

Contributing back

Gaps or extensions identified while authoring the DTPR risk catalog that are also relevant to AIAAIC's general-purpose taxonomy — for example, harm framings specific to public-space AI deployment — will be proposed back to the AIAAIC working group as upstream contributions, in the spirit of the ShareAlike license.

Per-element citation

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