AI model card
Intended use, training data summary, evaluation, limitations
What it is
AI model card: Intended use, training data summary, evaluation, limitations. In plain words, it is a written document that explains this work clearly to the people who need to read, check, or use it.
Who needs it and why
Anyone releasing a trained machine-learning model.
More people now rely on AI systems and the data behind them. Clear documentation lets users, reviewers, and the public understand what a system does, where it can fail, and who is responsible.
Sample outline
- Model details
- Intended use
- Training data
- Evaluation results
- Ethical considerations
- Caveats
This is a made-up outline to show the shape of a typical document of this type. Your own sections depend on your work and any template you must follow.
How our writing support works
- Tell us what you need on the order form: type, length, deadline, and any template.
- We understand your goal and agree an outline with you.
- You write each section; we give structure, language, and clarity feedback.
- We check references, consistency, and similarity, and flag gaps.
- A mentor reviews the draft and you revise it.
- You receive a final checklist and an authorship record.
You write it; we support you. We never write it for you, and you keep full authorship.
Advantages
- Clear structure from day one
- Feedback from experienced mentors
- Checks run while you write
- You stay the author
Benefits
- Readers understand your work faster
- Fewer rounds of revision
- More confidence when you submit or share it
Value
A clear, well-structured AI model card saves time for every reviewer and user, and it reflects the real quality of your work.
Common mistakes
- Describing only strengths and hiding limitations
- Using jargon that non-specialists cannot follow
- Leaving out version numbers and dates
- Copying a template without adapting it to your system
Checklist
- ☐ Intended use and out-of-scope use stated
- ☐ Data sources described
- ☐ Evaluation method and results included
- ☐ Limitations and risks listed honestly
- ☐ Version, date, and contact given
Free tool
Make a first draft in the standard structure with our free Model card generator, then score it with the document checker.
Existing practice, models and how many exist
Existing models & sample templates
- Model Cards for Model Reporting (Mitchell et al., 2019) — arxiv.org
- Hugging Face model card guide and template — huggingface.co
Who already uses it
- Hugging Face Hub displays a model card for each hosted model
Identifier agencies that register it
DataCite
How many exist so far
| What was counted | Count · years | Source |
|---|---|---|
| DataCite: records of resource type model | 82,329 · publication years 1603–2026 | api.datacite.org |
| DataCite: all records with “model card” in the title | 87 · publication years 2023–2026 | api.datacite.org |
Counts are live totals from public registry APIs on the date shown and change daily. Year ranges are the publication years recorded in the metadata (older items are often digitised later). Where no reliable count exists we say so rather than guess. Agency and organisation names belong to their owners and are shown only as facts about existing practice; Dotzy is independent and is not a partner, affiliate or agent of any of them.
FAQ
Do I need technical writing skills?
No. You bring the facts; we help you structure and explain them clearly.
Will you test my system?
No. We support the writing. The tests and results are yours.
What does it cost?
Prices start from ₹5,999 per project. The final quote depends on length and deadline.
Who is the author?
You are. We never ghost-write; you keep full authorship.
How long does it take?
It depends on length and your deadline; tell us your date on the order form.