01
Data-use boundary
Defines what material may be used, excluded, transformed, retained, or returned.
Responsible Use
Responsible use starts with clear boundaries.
Private AI work needs written limits for customer material, model behavior, review checkpoints, decision ownership, and known limits before deployment.
data-use boundary / behavior boundary / review checkpoints / decision ownership / known limits
02
Behavior boundary
Describes intended behavior, restricted behavior, and unsupported uses.
03
Review checkpoints
Marks where customer review is needed before reuse or deployment.
04
Decision ownership
Clarifies who owns final business, domain, and operational decisions.
05
Limit notes
Keeps weak cases, unresolved questions, and follow-up needs visible.
Role
Why this page exists
This page explains the practical responsible-use boundaries Random Walk expects in private AI service work.
- Sets project expectations before implementation
- Connects engineering work to written limits
- Separates support from final customer decisions
- Keeps review points explicit
Material
Customer material
Customer material should be classified before it is used for training, retrieval, evaluation, or deployment.
- Allowed source categories
- Restricted or excluded material
- Temporary copies and derived artifacts
- Retention, return, or deletion expectations
Behavior
Model behavior boundaries
Model behavior should be described in terms of intended use, restricted behavior, and known weak areas.
- Intended task behavior
- Unsupported output patterns
- Restricted use cases
- Sensitive or ambiguous outputs
Review
Review and approval points
Private AI work should define where customer review is needed before material or behavior is reused.
- Dataset review before model work
- Evaluation review before deployment
- Output review before customer-facing use
- Activation review for models or adapters
Responsibility
Decision ownership
Random Walk provides engineering support. Customers and their advisors own final business, domain, and policy decisions.
- Engineering support from Random Walk
- Business use decisions by customer
- Advisor review where needed
- Exceptions documented before proceeding
Evidence
Evidence and limits
Responsible-use boundaries are stronger when evidence, weak cases, and open questions remain close to the work.
- Evaluation examples
- Known-limit notes
- Failure or weak-case examples
- Unresolved questions and next steps
Checklist
What should be written down
A responsible-use boundary should be compact, specific, and usable during implementation.
- Permitted and excluded sources
- Intended and restricted behavior
- Review checkpoints and decision owner
- Activation and rollback conditions
Boundaries
What this page is not
This page is an informational boundary guide for service work, not a substitute for customer-side review.
- Not legal advice
- Not a formal approval statement
- Not a universal AI policy
- Not a promise that every risk is removed
Boundary check
Write the limits before deployment.
Responsible private AI work starts with explicit boundaries for material, behavior, review, ownership, evidence, and known limits.
Bring the material categories, intended model behavior, review checkpoints, decision owners, and known constraints.
System signals
- You need private AI work with clear use boundaries.
- You want reviewable material before deployment.
- You understand final decisions need named owners.
Boundary limits
- You need legal or regulatory advice from this page.
- You want unrestricted use of unreviewed material.
- You expect engineering work to replace customer judgment.