Practices for Governing Agentic AI Systems

source id

source-BATCH-2026-005-009

canonical title

Practices for Governing Agentic AI Systems

alternate titles

source type

research_report

series or parent source

official OpenAI PDF

publisher

OpenAI

channel

Unknown

speaker ids

author ids

person-BATCH-2026-005-yonadav-shavit, person-BATCH-2026-005-sandhini-agarwal, person-BATCH-2026-005-miles-brundage, person-BATCH-2026-005-steven-adler, person-BATCH-2026-005-cullen-o-keefe, person-BATCH-2026-005-rosie-campbell, person-BATCH-2026-005-teddy-lee, person-BATCH-2026-005-pamela-mishkin, person-BATCH-2026-005-tyna-eloundou, person-BATCH-2026-005-alan-hickey, person-BATCH-2026-005-katarina-slama, person-BATCH-2026-005-lama-ahmad, person-BATCH-2026-005-paul-mcmillan, person-BATCH-2026-005-alex-beutel, person-BATCH-2026-005-alexandre-passos, person-BATCH-2026-005-david-g-robinson

institutional author

Unknown

organization references

recorded at

Unknown

event date

Unknown

published at

Unknown

updated at

Unknown

duration seconds

Unknown

language

lang-en

translated title

Unknown

translation method

Unknown

geography of speaker

geography of organization

geography discussed

global policy context

study geography

global policy context

original url

https://cdn.openai.com/papers/practices-for-governing-agentic-ai-systems.pdf

canonical url

https://cdn.openai.com/papers/practices-for-governing-agentic-ai-systems.pdf

archived url

Unknown

embed url

Unknown

doi

Unknown

canonical identity status

verified

repost status

original_or_authoritative_rendition

original source id

Unknown

rights status

link_and_paraphrase

ownership status

third_party

relationship to off

none_identified; Executive AI Research snapshot contains no matching production records

transcript status

Unknown

transcript source

Unknown

transcript republication permission

Unknown

chapter markers

analysis basis

Complete official 23-page PDF reviewed; definition, accountability, monitoring, attribution, interruptibility, indirect impacts, and acknowledgements inspected visually.

topics

topic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity

executive roles

role-ciso, role-cio, role-cto, role-general-counsel, role-board-director

original abstract

Unknown

inclusion rationale

Accepted discovery candidate candidate-BATCH-2026-001-085; contributes company white paper and policy analysis evidence or normative context to governed AI-agent identity.

source quality dimensions

{"attribution_strength":"high","methodological_transparency":"appropriate_for_policy_analysis","independence":"company_published","bibliographic_stability":"high_official_pdf","evidence_strength":"moderate_normative_policy_analysis_not_empirical","unresolved":"Publication day, funding, affiliations, conflicts, and external review status are not reported in the PDF."}

methodology quality

{"design":"non-empirical company white paper and policy analysis","transparency":"appropriate_for_policy_analysis","human_review_required":true}

study design

non-empirical company white paper and policy analysis

sample

{"size":"not applicable","sampling_method":"not applicable"}

population

model developers, system deployers, users, and third parties in agentic-system lifecycles

date range

{"fieldwork":"not applicable","version":"2023; PDF metadata created 2023-12-18"}

funding

not reported

sponsor

OpenAI publisher; separate sponsor involvement not reported

peer review status

not reported; not treated as peer reviewed

findings

The authors propose evaluation, action-space constraints, default behaviors, legibility, monitoring, attributability, and interruptibility as building blocks., They argue that at least one human legal entity should remain accountable for uncompensated direct harm.

limitations

No empirical outcome evaluation., Company-published and funding/conflicts are not reported., Many recommendations are explicitly preliminary.

correction ids

retraction status

none_identified_on_official_pdf_url_as_of_2026-08-15

content hash

22b3a8607ed781a848b82b0bfe8e638b16cd027aac90a19b2aecf236063d0e7c

accessed at

2026-08-15

verification status

metadata_content_and_version_machine_verified_human_approved

source depth

deeply_analyzed

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

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