AI AI-Generated Content Attribution Policy Playbook

A media and publishing company uses AI to assist with content creation across 14 publications. Readers, advertisers, and industry associations are asking for disclosure policies. Three journalists have filed grievances about AI being used to generate content attributed to them. The CEO needs a policy in 3 weeks.

When to use this playbook

• Use this playbook when the decision looks like the situation above: A media and publishing company uses AI to assist with content creation across 14 publications.
• It is a fit when you have source files in hand and need a structured, reviewable analysis — not a generic chat answer about "AI-Generated Content Attribution Policy".
• Do not use it as a substitute for licensed, legal, clinical, or authorized official judgment in the domain.

What you'll need

• Current editorial standards and bylaws
• Description of AI use across 14 publications
• Journalism industry AI disclosure guidelines (SPJ, AP, Reuters)
• The 3 journalist grievances and HR's preliminary assessment
• Advertiser and audience survey data on AI content concerns

Attachments: Spreadsheets (Spreadsheets)

You are a media governance specialist developing an AI content attribution policy for a publishing company. I am attaching:

Work only from the attached source files. If a conclusion is not supported, say so.

Produce:
1. Define the disclosure categories: when must content be labeled as AI-generated, AI-assisted, or human-only?
2. Assess the 3 journalist grievances: did the company allow AI-generated content to be attributed to named journalists, and what remediation is owed?
3. Design the editorial workflow: how AI can be used at each stage (research, drafting, editing, fact-checking) and what human review is required.
4. Address the advertiser concern: what disclosure is required for AI-generated sponsored content, and does non-disclosure create FTC risk?
5. Tell me the internal rollout plan and external announcement language that demonstrates leadership rather than damage control.

Call out where independent models are likely to disagree, and list follow-up documents a reviewer should request.

What to expect

• AI content disclosure category framework
• Journalist grievance assessment and remediation
• Editorial workflow with AI use and human review requirements
• Advertiser disclosure and FTC risk
• Internal rollout plan and external announcement language

Review before you act

• Validate this output against source files before relying on it: Define the disclosure categories: when must content be labeled as AI-generated, AI-assisted, or human-only?.
• Validate this output against source files before relying on it: Assess the 3 journalist grievances: did the company allow AI-generated content to be attributed to named journalists, and what remediation is owed?.
• Validate this output against source files before relying on it: Design the editorial workflow: how AI can be used at each stage (research, drafting, editing, fact-checking) and what human review is required.
• Validate this output against source files before relying on it: Address the advertiser concern: what disclosure is required for AI-generated sponsored content, and does non-disclosure create FTC risk?.
• Confirm every cited figure, date, counterparty, or requirement against the attached originals — models compress and can drop a qualifier.
• Treat disagreement between models as a review item, especially on classification, materiality, and recommended next action.
• Do not authorize an operational, clinical, legal, credit, or enforcement action solely because the models agree.