AI Tagging Governance Template
A governance template that defines how AI tagging is used in your DAM, covering rules, confidence thresholds, human review, and model evaluation.
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Executive Summary
What this template is
Why It Matters
This template provides the following benefits:
- Reduces the risk of inconsistent, irrelevant, or biased AI-generated tags.
- Makes AI behaviour transparent to legal, brand, and compliance stakeholders.
- Supports ongoing evaluation and tuning of AI models and vendor solutions.
Who It’s For
Who should use this template
How To Use
How to Use the AI Tagging Governance Template
Follow these easy steps to make use of this template:
- List each AI tagging use case such as object detection, logo recognition, scene classification, or product attributes.
- Define the rules, confidence thresholds, and required human review for each use case.
- Assign ownership for governance decisions and escalation when AI outputs are disputed.
- Use the model evaluation tab to record test datasets, precision/recall scores, and go/no-go decisions for each AI model.
- Review and update the governance on a fixed cadence as performance, regulations, and business needs change.
AI Notes
Responsible AI & Fair Usage
Related Content
Related DAM Resources
Conclusion
Put this into your DAM governance workspace so it becomes part of how work gets done—not a one‑off document.
Revisit and refresh it quarterly to keep it aligned with real workflows and ownership.
What’s Next
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Creative & Marketing Workflow Mapping Template
A swimlane-ready template to map how creative and marketing work actually flows today so you can design better, DAM-connected workflows.
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AI Tagging Governance Template
A governance template that defines how AI tagging is used in your DAM, covering rules, confidence thresholds, human review, and model evaluation.




