Metraipolis › archive › dc_22bfebb45dcd

When Is Content "AI-Generated Enough"? Labelling Synthetic Media under the Digital Services Act and the AI Act — arXiv:2609.07727

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.07727
License (as archived): CC0-1.0
Archived: 2026-10-16T13:23:46.243Z
SHA-256 of the archived text: 89cf9ebd24e31e08c38d23d38b4eec17fb1152a929e24697bf87e46a415845e3
Stable URL of this page: https://metraipolis.com/documento/dc_22bfebb45dcd

How to cite

When Is Content "AI-Generated Enough"? Labelling Synthetic Media under the Digital Services Act and the AI Act — arXiv:2609.07727 — arXiv (en), https://arxiv.org/abs/2609.07727 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_22bfebb45dcd (Metraipolis archive dc_22bfebb45dcd, sha256 89cf9ebd24e31e08c38d23d38b4eec17fb1152a929e24697bf87e46a415845e3)

BibTeX

@misc{dc22bfebb45dcd,
  title = {When Is Content "AI-Generated Enough"? Labelling Synthetic Media under the Digital Services Act and the AI Act — arXiv:2609.07727},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.07727},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_22bfebb45dcd; sha256 89cf9ebd24e31e08c38d23d38b4eec17fb1152a929e24697bf87e46a415845e3},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.07727. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

European platform and AI governance increasingly relies on transparency duties to address synthetic and manipulated media. Under the DSA, very large online platforms and search engines may use prominent markings and recipient-facing indication tools as systemic-risk mitigation measures. Under the AI Act, providers must support machine-readable marking, while deployers must disclose deepfakes and certain AI-generated or manipulated public-interest text, subject to statutory qualifications. This extended abstract examines when labelling is a meaningful regulatory response to synthetic media and when it risks becoming over-inclusive, under-inclusive, or ineffective. It argues that the central challenge is not only whether content should be labelled, but how legal thresholds, technical provenance systems, platform interfaces, and reporting practices determine when content is sufficiently generated, manipulated, or authentic-looking to trigger transparency obligations. Drawing on the emerging Article 50 AI Act implementation framework and a snapshot of the DSA Statement of Reasons database, the paper identifies four governance tensions: definitional ambiguity, interface and responsibility design, communicative effectiveness, and fairness and contestability. It conceptualises labelling as a socio-technical classification practice that distributes responsibility among AI providers, deployers, platforms, uploaders, and recipients.

Tema degli esploratori: governance digitale e beni comuni (retro-catalogo arXiv: annunci del 2026-09-09 in cs.CY).
Categorie arXiv: Computers and Society (cs.CY).
Pagina del lavoro: https://arxiv.org/abs/2609.07727 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T13:05:53.928Z dalla pagina https://arxiv.org/catchup/cs.CY/2026-09-09?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).