Decision inputs
Facts that change the policy answer
Here the tool receives a data schema, distributions and privacy constraints, while someone ultimately relies on a synthetic analytical dataset. The policy must evaluate the whole path between them.
- 1Task and owner
- Data scientist wants to generate synthetic data for analysis. Name who owns the finished a synthetic analytical dataset; ownership should not disappear because AI helped produce it.
- 2Information involved
- A data schema, distributions and privacy constraints. Look beyond pasted text: files, integrations and retrieval connections can expose the same material.
- 3Tool and account
- An approved company account. The request should identify the exact account because product-level approval leaves important controls unknown.
- 4Intended result
- The expected result is a synthetic analytical dataset. Its destination matters: private working material creates a different consequence from a sent, published or automated result.
- 5Consequence if it is wrong
- Synthetic rows can reproduce real records or preserve harmful bias. That risk sets the level of review and the person who should receive an exception.
- 6Human review
- data and privacy owners should inspect, change, reject or stop the result. Their role should include checking source facts, correcting errors and refusing the proposed use.
Possible policy routes
The task name alone cannot decide it.
A published workplace policy can return different answers for the same task. These are the practical branches worth encoding.
A routine policy route may be possible
The request may fit ordinary policy handling once the exact account is approved, only the minimum data structure and statistical properties is used, a synthetic analytical dataset remains within the stated purpose, and data and privacy owners reviews it before use.
Approval may be required
Pause the ordinary route whenever the account or data handling is uncertain, synthetic rows can reproduce real records or preserve harmful bias, or a synthetic analytical dataset reaches people or systems beyond the requester’s authority.
The request may need to stop or change
Do not continue unchanged when restricted information would enter an unapproved service, the output would act before data and privacy owners can intervene, or test memorisation, privacy leakage and analytical usefulness before release cannot be maintained. Consider less information, a controlled account or a non-AI process.
Request checklist
Questions to ask before using the tool
- 01
Has the company approved this account configuration for generate synthetic data for analysis, rather than only approving the product?
- 02
Could a data schema, distributions and privacy constraints be reduced to a short de-identified extract?
- 03
At what point does a synthetic analytical dataset move beyond the requester’s private draft?
- 04
What evidence will data and privacy owners use to accept, correct or reject the result?
- 05
When must the employee stop and run the policy check again?
Worked request
What the employee should submit
This example supplies decision facts without pasting the underlying material into the approval record.
- requester
- data scientist
- task
- Use AI to generate synthetic data for analysis.
- information
- a data schema, distributions and privacy constraints
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Generate data
- impact
- Internal work
- review
- Complete human review
- owner
- data and privacy owners
Useful safeguards
Controls that fit this request
- ✓
Test memorisation, privacy leakage and analytical usefulness before release
- ✓
Document why each part of a data schema, distributions and privacy constraints is necessary before making it available to the tool.
- ✓
Reassess the request whenever its tool, information classification, frequency or consequence changes.
- ✓
Link the completed check to the applicable policy version and append later reassessments separately.
Questions people ask
About this AI use
Is using AI to generate synthetic data for analysis automatically allowed?
Permission depends on the facts submitted for this request. A different tool, information class, region or use of a synthetic analytical dataset can produce another route.
When is the request detailed enough to decide?
Describe a synthetic analytical dataset, identify a data schema, distributions and privacy constraints, name the exact tool and account, explain who will receive or rely on the output, and state how data and privacy owners will review it.
What should remain after the decision?
Link the completed check to the applicable policy version and append later reassessments separately. A classification and controlled reference may be enough when copying a data schema, distributions and privacy constraints would create unnecessary risk.