Claim · 2025-07-22 · publication · Stated in source · Supported

The risk-analysis report identifies critical risks in seven areas: cyber offense, biological and chemical risks, persuasion and manipulation, uncontrolled autonomous AI R&D, strategic deception and scheming, self-replication, and collusion.

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

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report → states provision → Critical risks identified in seven areas: cyber offense, biological and chemical risks, persuasion and manipulation, uncontrolled autonomous AI R&D, strategic deception and scheming, self-replication, collusion

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Reportstates provision ↓Critical risks identified in seven areas: cyber offense, biological and chemical risks, persuasion and manipulation, uncontrolled autonomous AI R&D, strategic deception and scheming, self-replication, collusion

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Provision: Statement · provision ID shlab-frmf-practice-seven-areas
Date: 2025-07-22 · publication Records dated 2025 →

Scope and limitsWhat the report states as its scope of assessment.

The evidence 01

primary sourceSupports the claim

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report

arXiv · 2025-07-22

Cite the original source

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

Source excerpt

“we identify critical risks in seven areas: cyber offense, biological and chemical risks, persuasion and manipulation, uncontrolled autonomous AI R&D, strategic deception and scheming, self-replication, and collusion”

Location in source Abstract

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Shanghai Artificial Intelligence Laboratory
Version: Dated document, retrieved on 2026-10-29 (SHA-256 f62e193deeccc890f47df2ae9e8dd75bb93e00a7dd977a3530d44249d87fa049) directly from the publisher. Version: 2507.16534v1. PDF of version 1 (22 July 2025); the abstract page notes a later v2 of 26 July 2025, not inspected.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Shanghai Artificial Intelligence Laboratory, “Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report”, 2025-07-22.
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, Chinese frontier-AI institutions, third collection (research/china-labs-3). The quotation (27 words) matched the text retrieved for the candidate pack on 2026-10-29 and again in a fresh retrieval the same day, read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (2026-10-31, item K074) re-read the record’s sources directly and found full support. 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. An exact framework edition, or another document with an exact expression, states one provision: a capability threshold or risk level and its trigger, a required safeguard or action, a decision authority (who decides, recommends, can overrule or is informed), a stated exception, or another statement of its content, such as a licence term or a prospectus statement. The passage records what the document says, not implementation, compliance or effectiveness. Provisions with the same key align across editions of one family.

Date. Submission date of the cited arXiv version; not the model's release date and not the date of later versions.

Record ID c3-shlab-frmf-practice-seven-areas