statements ยท statement-BATCH-2026-006-042

source-BATCH-2026-005-009

Deployers or users should test whether an agent is suitable for its intended task under conditions resembling deployment.

Statement context

Statement type
recommendation
Exact source locator
Official PDF pp. 8-9, Section 4.1 "Evaluating Suitability for the Task", 2023 version
Source date
Unknown
Role at source time
joint authors of the agentic-AI governance paper
Evidence character
normative recommendation
Scope
Reliability evaluation before using an agentic system for a particular use case.

Recorded uncertainty: The paper characterizes the evaluation field as immature and provides no universal sufficiency threshold.

Indexed source: Practices for Governing Agentic AI Systems

Evidence lineage and transparency

Relationship fieldLinked identifiers
topic idstopic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity

Machine review: machine checked. Human review: approved. Workflow: published.

Complete structured record
statement id
statement-BATCH-2026-006-042
source id
source-BATCH-2026-005-009
person id
Unknown
institutional author
Shavit et al. (joint paper authors)
book edition id
Unknown
speaker role at source time
joint authors of the agentic-AI governance paper
organization at source time
OpenAI (publisher; individual affiliations are not stated in the paper)
statement type
recommendation
neutral paraphrase
Deployers or users should test whether an agent is suitable for its intended task under conditions resembling deployment.
direct quote
Unknown
direct quote rights note
Unknown
exact locator
Official PDF pp. 8-9, Section 4.1 "Evaluating Suitability for the Task", 2023 version
locator type
pdf_page
source date
Unknown
topic ids
topic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity
executive role context
role-ciso, role-cio, role-cto, role-general-counsel, role-board-director
industry context
cross-sector
geographic context
global policy context
evidence character
normative_recommendation
factual verification status
not_applicable
statement scope
Reliability evaluation before using an agentic system for a particular use case.
uncertainty
The paper characterizes the evaluation field as immature and provides no universal sufficiency threshold.
extraction method
Machine-assisted close reading of the exact verified source version; original neutral paraphrase; human review pending.
machine extraction confidence
0.94
independent agent review status
not_started
publication status
published
workflow status
published
machine review status
machine_checked
human review status
approved
reviewed by
Murray Newlands
reviewed at
2026-08-16T23:17:22Z
Provenance and revision history
{
  "provenance": [
    {
      "source_url": "https://cdn.openai.com/papers/practices-for-governing-agentic-ai-systems.pdf",
      "accessed_at": "2026-08-15",
      "retrieval_method": "Exact verified source version inherited from BATCH-2026-005 and statement-level close reading",
      "exact_locator": "Official PDF pp. 8-9, Section 4.1 \"Evaluating Suitability for the Task\", 2023 version",
      "content_hash": "22b3a8607ed781a848b82b0bfe8e638b16cd027aac90a19b2aecf236063d0e7c",
      "batch_id": "BATCH-2026-006",
      "prompt_id": "OEII-STATEMENT-CODING",
      "prompt_version": "2.0",
      "notes": "Source eligibility inherited from source-BATCH-2026-005-009; human attribution and publication review pending."
    }
  ],
  "revision_history": [
    {
      "changed_at": "2026-08-16T23:17:22Z",
      "changed_by": "Murray Newlands",
      "summary": "Approved for the governed-identities pilot release under the exact scope, exclusions, rights treatment, and limitations recorded in issue #18.",
      "batch_id": "BATCH-2026-006"
    }
  ]
}

Open machine-readable record