Organizations need clear policies governing AI content creation, detection, disclosure, and quality standards. This module provides frameworks for building effective AI content governance.
Policy Framework Components
Acceptable Use
Define where AI-generated content is permitted, restricted, or prohibited. Differentiate between drafting, research, creative, and formal communications.
Disclosure Requirements
Specify when AI use must be disclosed — to colleagues, clients, readers, or regulators. Define the format and placement of disclosures.
Quality Standards
Set minimum review requirements for AI-assisted content. Define who reviews, what they check, and what documentation is needed.
Enforcement
Establish consequences for policy violations and processes for appeals. Balance deterrence with fairness, especially given detection tool limitations.
Sector-Specific Considerations
| Sector | Key Concern | Policy Focus |
|---|---|---|
| Education | Academic integrity | Clear AI boundaries per assignment type |
| Journalism | Credibility and trust | Transparency and fact-verification |
| Legal | Accuracy and liability | Human review requirements |
| Healthcare | Patient safety | Clinical review gatekeeping |
AI content policies should reflect your organization's values and risk tolerance. For the detection tools that support enforcement, see our AI Detection Tools Compared guide.