The fastest workflow can create the slowest future problem
AI use can introduce confidentiality, privacy, ownership, licensing, provenance, and vendor risk before anyone notices.
What are we giving the system?
Public, internal, confidential, personal, licensed.
What are we creating or reusing?
Text, image, code, claim, derivative work.
Can we explain where it came from?
Sources, tool, prompt, edits, approvals.
Can this go into the tool?
A team wants to summarize client interview transcripts in a public AI service.
Upload full transcripts
Remove names only
Use output in proposal
Classify data and consent
Use approved environment
Minimize inputs
Document sources and review
Use a four-gate governance check
The workflow should stop when a gate fails.
Four risks require different controls
Do not collapse them into “AI ethics.”
Protect client and personal data
Minimize, secure, approve, and restrict.
Know rights in inputs and outputs
Do not assume generated means ownable.
Preserve source and transformation history
Enable audit and correction.
State material AI use when required
Keep a human owner of the final work.
Approve, redesign, or stop the workflow
Evaluate four proposed uses.
Can the organization audit what happened?
Responsible use must survive a future question from the client, employee, regulator, or creator.
One governed workflow
Controls match the risk.
Protect the data, rights, lineage, and decision
Speed is not value if the output cannot be defended or used.