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== Related scientific research ==
Mandatory AI transparency markers align with an active research field on algorithmic accountability and AI documentation standards. The references below are its core texts.
* Nicholas Diakopoulos (2016), ''Accountability in Algorithmic Decision Making'', Communications of the ACM, 59(2): [https://doi.org/10.1145/2844110 doi:10.1145/2844110].
* Margaret Mitchell et al. (2019), ''Model Cards for Model Reporting'', Proceedings of FAT* 2019: [https://doi.org/10.1145/3287560.3287596 doi:10.1145/3287560.3287596] · [https://arxiv.org/abs/1810.03993 open access version].
* Timnit Gebru et al. (2021), ''Datasheets for Datasets'', Communications of the ACM, 64(12): [https://doi.org/10.1145/3458723 doi:10.1145/3458723] · [https://arxiv.org/abs/1803.09010 open access version].
* Luciano Floridi et al. (2018), ''AI4People: An Ethical Framework for a Good AI Society'', Minds and Machines, 28: [https://doi.org/10.1007/s11023-018-9482-5 doi:10.1007/s11023-018-9482-5].
* European Union (2024), ''Artificial Intelligence Act'', Regulation (EU) 2024/1689, including transparency obligations for AI-generated content: [https://en.wikipedia.org/wiki/Artificial_Intelligence_Act overview on Wikipedia].
'''See also:''' [[Gov/en/Portal:R&D/Innovations:Main|All innovations]] · [[Gov/en/Portal:R&D/Main|R&D Portal]]
'''See also:''' [[Gov/en/Portal:R&D/Innovations:Main|All innovations]] · [[Gov/en/Portal:R&D/Main|R&D Portal]]


[[Category:Migration June 2026]]
[[Category:Migration June 2026]]
[[Category:Innovation]]
[[Category:Innovation]]

Revision as of 17:51, 15 August 2026

💡 In simple words: When a computer helps write something on WikiDeal, the page says so clearly. That way everyone knows a person checked it, just like a teacher checks homework.

🎯 In 20 seconds (scientific summary): The AI Disclaimer is a transparency rule under exploration: any AI-assisted content would be visibly flagged, sourced where relevant, and treated as provisional until a human contributor reviews it. It extends Wikipedia's sourcing culture to machine-drafted material and supports community governance of content quality.


Origin 🔵🟢 Wikimedia Foundation + WikiDeal concept
Status Prototype 1, In testing

Readers of any collaborative platform face a growing question: was this text written by a person or by a machine? Without a clear signal, trust erodes for everyone, not because anyone acts in bad faith, but because the ecosystem lacks a shared convention. The AI Disclaimer aims to give users that signal, so a parent reading a babysitting contract template, or a supporter reviewing a funding page, can immediately see what has been human-validated and what has not.

The need: knowing who wrote what

Imagine a user, Sofia, comparing two contract templates on WikiDeal. One was drafted with AI assistance and not yet reviewed; the other was checked line by line by experienced contributors. Without a disclaimer, both look equally authoritative. The AI Disclaimer intends to make that difference visible at a glance, in the same spirit as Wikipedia's citation culture: readers should always know where a statement comes from.

How it is intended to work

Each AI-assisted contribution would carry a visible marker so readers can tell machine-drafted material from human-authored material. Flagged elements would remain provisional until a human contributor reviews and endorses them. The exact display and review workflow is being documented progressively as the platform evolves.

Who does what

  • Authors (human or AI-assisted) declare AI involvement when publishing.
  • Reviewers (experienced community members) check flagged content and endorse it when it meets quality standards.
  • Readers see the marker and can decide how much weight to give unreviewed material, or join the review effort themselves.

Why it matters for the ecosystem

This rule supports transparency and citizen participation, two of WikiDeal's guiding principles: anyone can see the status of a page, and anyone can help validate it. It also keeps the platform flexible: AI assistance can speed up drafting without lowering the trust bar, because human validation stays the final step.


Related scientific research

Mandatory AI transparency markers align with an active research field on algorithmic accountability and AI documentation standards. The references below are its core texts.

See also: All innovations · R&D Portal