Claim · 2022-01 · publication · Stated in source · Supported

Shevlane's paper of January 2022 proposes structured capability access, in which developers offer controlled interactions with AI systems instead of disseminating them openly, with the aim of preventing dangerous capabilities from being widely accessible.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Structured access to AI capabilities: an emerging paradigm for safe AI deployment → contests → Open models reduce risk

Where it appears

Arguments about catastrophic risk from advanced AI →

Claim and evidence

Structured access to AI capabilities: an emerging paradigm for safe AI deploymentcontests ↓Open models reduce risk

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2022-01 · publication Records dated 2022 →
Role: Contesting
Register (kind of text): Nonfiction
Engagement: States the contrary. Proposes restricted access as safer without engaging the scrutiny or distribution-of-power premises.

Scope and limitsArgues for an alternative to open dissemination rather than against arguments for openness; the paper discusses the objection that it centralises power in developers.

The evidence 01

primary sourceSupports the claim

Structured access to AI capabilities: an emerging paradigm for safe AI deployment

arXiv:2201.05159 (book chapter preprint) · 2022-01

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Instead of openly disseminating AI systems, developers facilitate controlled, arm’s length interactions with their AI systems. The aim is to prevent dangerous AI capabilities from being widely accessible”

Location in source Abstract, PDF p. 1

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Toby Shevlane
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 42e9a3eb27e757b30de7191431d3880b2940ba4e2d4db82192f6fd4961d53082). arXiv v1 PDF.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Toby Shevlane, “Structured access to AI capabilities: an emerging paradigm for safe AI deployment”, 2022-01.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, arguments about catastrophic risk from advanced AI (research/risk-debate). The quotation (28 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A passage of the document disputes the proposition or a premise it depends on. The record documents the text’s position, not who is right.

Date. Date of the arXiv v1 submission.

Record ID rd-r15-shevlane-2022-structured-access