AI Editorial Policy: Rules, Owners and Exceptions
- What should an AI editorial policy decide?
- How is policy different from workflow?
- Which published policies can inform your decisions?
- How do you turn principles into enforceable rules?
- How should you classify proposed uses?
- What must the input rule protect?
- What authority does an exception owner have?
- What does a bounded exception look like?
- What should disclosure and recordkeeping rules say?
- What happens when the policy is breached?
- When should the policy be reviewed?
- Sources
What should an AI editorial policy decide?
An AI editorial policy should identify permitted tasks, prohibited uses, approved inputs, required human checks, disclosure decisions and who can authorize exceptions. Make each rule usable before someone submits material to a tool. Record the policy version governing an assignment and stop uses with unresolved permission or confidentiality questions. A policy is not proof that output is accurate, that a service is secure or that publication is authorized.
The framework below is Margin & Method's proposed policy design for a small publication. It is voluntary editorial guidance, not a legal instrument, a compliance certification or a statement that other publishers must adopt these rules. Have the appropriate policy owners and qualified advisers resolve obligations specific to your work.
How is policy different from workflow?
A workflow describes how an assignment moves. A policy decides which activities may occur within it, under what conditions and with whose authority.
For example, “send the summary to an editor” is a handoff. “Only the assigned editor may approve a summary, after checking it against the approved article” is an authorization rule. “Keep the summary and approval together” is a record requirement. The three statements have different owners and failure responses.
Keep the detailed stages in your editorial workflow. The policy should refer to those stages without duplicating their instructions. Otherwise a process revision can leave two apparently current versions of the same requirement.
Begin the policy with its owner, effective date, version and scope. State whether it covers staff, commissioned contributors, images, audio, translations, social posts and internal drafts. Define the covered activity rather than assuming everyone uses “AI-assisted” to mean the same thing.
Which published policies can inform your decisions?
Use institutional examples as evidence of specific choices, not a universal industry rule. These pages were checked on September 8, 2026.
AP's July 2026 announcement describes assistance with research, transcription, translation, headlines and other bounded tasks. AP journalists review and edit output before publication; reporting, verification and editorial judgment remain human responsibilities. It also retains a prohibition on generative alteration of news photography. Those are AP's stated boundaries.
Fast Company's editorial guidelines and AI use policy, says it does not publish AI-generated articles, while permitting specified assistance such as organization and copyediting. It separately addresses data handling and contributor agreements. Do not reduce that policy to either “all AI forbidden” or “AI allowed.”
Nature Portfolio's current policy uses a risk-assessment framework across authors, reviewers and editors. It distinguishes assistive uses from evaluative uses requiring caution, oversight and disclosure, and prohibits uses that replace accountable judgment or breach integrity. Its confidentiality restrictions include not sharing manuscripts with unsecured or public AI systems. This is research-publishing policy, not a newsroom template.
Read the complete applicable policy when working for any institution. An excerpt in another publication is not permission, and an older copyediting exception should not be assumed to describe a current policy.
How do you turn principles into enforceable rules?
“We use AI responsibly” does not tell a contributor whether a particular input is authorized. Write a rule card that identifies the action, conditions, decision maker and evidence.
Our proposed card has these fields:
| Field | What the rule must specify |
|---|---|
| Identifier | A stable reference, such as INPUT-01 |
| Covered action | The exact task or transfer being controlled |
| Preconditions | Evidence required before the action |
| Responsible role | Who verifies those conditions |
| Decision | Allowed within scope, further approval required, or prohibited |
| Record | Where the decision and applicable version are retained |
| Failure response | What stops and who receives the question |
The NIST AI Risk Management Framework Core provides relevant governance context: documented responsibilities, risk-based controls, training, review and incident processes. The linked page is an excerpt of AI RMF 1.0 and states that a revision is in progress. NIST describes the framework as voluntary, and its actions are not an ordered checklist. Our rule card is an editorial proposal, not a NIST conformance test.
Write observable conditions. “Reviewer checks every quotation against its approved source” can be evidenced. “Reviewer ensures quality” cannot explain what happened when a quotation changes.
How should you classify proposed uses?
Classify the complete use, not just the product or the verb. “Summarization” can mean condensing a public announcement or processing confidential interview notes. Those inputs have different permission questions.
Here is an original starting matrix for policy discussion:
| Proposed use | Suggested policy position | Required decision |
|---|---|---|
| Suggest headings from approved public copy | Eligible within a defined task | Editor checks meaning and authorizes any retained wording |
| Reorganize unpublished source notes | Separate prior assessment | Responsible owners resolve input permissions and data handling |
| Supply a missing quotation or source | Prohibited as evidence | Find and verify genuine source material independently |
| Make an editorial approval decision | Reserved for an authorized person | Human reviewer records the decision |
| Generate documentary-looking media | Excluded from routine text approval | Separate editorial, rights and disclosure review under governing rules |
These are proposed house positions, not measured capability ratings. A use marked eligible still needs an approved environment and a reviewer able to inspect it. A use requiring assessment is not provisionally allowed while the assessment is pending.
Avoid a catch-all exception such as “unless the deadline is urgent.” A deadline does not establish input permission, factual support or the authority to waive a restriction.
What must the input rule protect?
Separate access, permission and suitability. A person who can open a document may not be authorized to submit it elsewhere. A subscription may permit a feature without settling your obligations to a source or client.
In the proposed policy, the requester identifies the material category and intended destination before submission. The relevant owner checks current data-handling terms and the approved account configuration. Editors should not infer retention, training use, deletion, isolation or access behavior from a product name.
Keep credentials, protected source information and other confidential material outside unapproved systems. Changing a person's name does not establish that the remaining details are anonymous or authorized for transfer.
If the information needed for approval is missing, do not upload the material. Record the unresolved question and use the existing authorized process. Do not submit a small sample of sensitive content merely to find out whether the tool accepts it.
What authority does an exception owner have?
Name who can approve an exception and which rules they may vary. A commissioning editor might authorize a broader wording task under house policy while lacking authority over a client's confidentiality terms.
An exception request should identify the rule, proposed deviation, reason, affected material, review plan and requested duration. The decision should state what remains prohibited. Permission for one assignment should not silently become a reusable precedent.
Distinguish these outcomes:
- Approved within stated limits: the record specifies permitted inputs, task and checks.
- Returned for information: no use is authorized until the missing information is resolved.
- Declined: the proposed use must not proceed under this decision.
- Escalated: another responsible owner or qualified adviser must decide.
Do not describe unresolved legal or contractual obligations as risks an editor can simply accept. This framework supplies no authority to waive them.
What does a bounded exception look like?
Consider a fictional request, POLICY-EX-014. A contributor wants a tool to propose a short summary from an unpublished interview packet. The packet includes material whose sharing permission has not been established.
Under our proposed INPUT-01 rule, the request is returned for information. Nothing is uploaded. “The editor will check the summary” does not answer the input question.
The requester then proposes a different task: use a separately prepared, approved public announcement as the sole input. The authorized owner confirms that this input and environment fit the policy. The editor permits summary suggestions only, with no new facts, quotations or direct publication.
The decision record would say:
| Record item | Fictional decision |
|---|---|
| Authorized input | Identified public announcement, approved for this use |
| Excluded input | Original interview packet |
| Permitted output | Summary suggestions for the assigned editor |
| Required check | Compare every retained statement with the announcement |
| Publication | Separate human approval still required |
| Scope | This assignment only; a changed input reopens the decision |
No model was run and no confidentiality review was performed for this example. It illustrates a decision boundary: approval follows the revised task, not the original packet. A later user cannot point to EX-014 as permission to process interview notes.
What should disclosure and recordkeeping rules say?
Assign the disclosure decision to a person and state when it must be made. Keep internal reporting of tool use separate from a public label. A use may need an internal record even when the governing policy does not call for an article-level statement.
Link the decision to what actually happened. A planned copyedit that became a substantive rewrite needs reassessment; the original task label cannot describe the completed work accurately.
Use the disclosure guide for wording and placement decisions. The policy's job is to identify the responsible reviewer, applicable requirements and evidence retained, not prescribe one sentence for every medium.
Keep records in approved locations with access and retention set by the appropriate owners. Do not copy confidential inputs into a broadly shared policy log. The log can identify the restricted record and its custodian without reproducing the material.
What happens when the policy is breached?
Provide a reporting route that people can actually find. Separate an editorial content problem from a possible privacy, security or contractual incident; more than one owner may need to act.
Our proposed first response is to stop the affected use or publication step and notify the designated owner. Preserve relevant records under authorized handling instructions. Do not circulate sensitive prompts in a general discussion channel or delete records to conceal what happened.
An unsupported statement needs evidence review and a publication or correction decision. A suspected unauthorized transfer needs the relevant specialist response even if the resulting prose is accurate. Rewriting the article does not resolve the separate data incident.
Specify who can authorize resumption and what evidence they need. Avoid automatic reinstatement after a tool setting changes or a new prompt is saved. Neither event demonstrates that the original problem has been resolved.
When should the policy be reviewed?
Set a review owner and an actual review date. Also identify triggers: a material provider change, a new content type, changed governing requirements, a reported failure or a request outside existing permission.
For each revision, record the affected rules and decide how ongoing assignments are treated. Do not assume either that old permission lasts indefinitely or that every historical use becomes prohibited retroactively.
Before adoption, walk through the fictional exception above with the proposed owners. Ask who can stop the use, where the request goes and what evidence resolves it. This is a policy rehearsal, not proof of legal compliance or AI reliability.
Keep the approved version easy to find through the trust-and-disclosure collection. An enforceable policy makes the next decision explicit; it does not remove human responsibility for making it.