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Becoming Suspicious Across Borders: Algorithmic Extraterritoriality and AI-Driven Financial Surveillance — arXiv:2610.03425

Source: arXiv
Original: https://arxiv.org/abs/2610.03425
License (as archived): CC0-1.0
Archived: 2026-10-05T22:49:39.435Z
SHA-256 of the archived text: ae3e99281f56ad0246c02fc8a2f1f5b2390025941d484fe9270e3a1b7b702002
Stable URL of this page: https://metraipolis.com/documento/dc_f0d303ba2fcd

How to cite

Becoming Suspicious Across Borders: Algorithmic Extraterritoriality and AI-Driven Financial Surveillance — arXiv:2610.03425 — arXiv, https://arxiv.org/abs/2610.03425 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_f0d303ba2fcd (Metraipolis archive dc_f0d303ba2fcd, sha256 ae3e99281f56ad0246c02fc8a2f1f5b2390025941d484fe9270e3a1b7b702002)

BibTeX

@misc{dcf0d303ba2fcd,
  title = {Becoming Suspicious Across Borders: Algorithmic Extraterritoriality and AI-Driven Financial Surveillance — arXiv:2610.03425},
  howpublished = {arXiv},
  url = {https://arxiv.org/abs/2610.03425},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_f0d303ba2fcd; sha256 ae3e99281f56ad0246c02fc8a2f1f5b2390025941d484fe9270e3a1b7b702002},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv, https://arxiv.org/abs/2610.03425. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Suspicion is an important, yet elusive concept in anti-money laundering and counter-terrorist financing (AML/CFT), which allows for intervention below the threshold of proof. In its traditional form, suspicion can be understood as a situated legal judgement by human actors within identifiable jurisdictions. It is argued that this understanding is no longer adequate. As artificial intelligence (AI) becomes an integral part of financial surveillance, suspicion is increasingly produced through data-driven processes. This transformation is epistemic, but also spatial. Since AI-driven financial surveillance operates through transnational data infrastructures, regulatory reach is less a matter of where conduct occurs than a question of whether such conduct becomes visible within data systems. This article develops the concept of algorithmic extraterritoriality, understood as a form of regulatory power mediated by data infrastructures rather than formal assertions of jurisdiction. Moreover, since individuals are increasingly constituted as datafied subjects of suspicion, they are rendered governable through dispersed and opaque processes of evaluation. This constitutes a challenge for accountability and contestability because suspicion becomes more difficult to locate, explain or contest.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2610.03425 — 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 2026-10-05T22:45:55.699Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).