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/ Opening

The fastest workflow can create the slowest future problem

AI use can introduce confidentiality, privacy, ownership, licensing, provenance, and vendor risk before anyone notices.

INPUT

What are we giving the system?

Public, internal, confidential, personal, licensed.

OUTPUT

What are we creating or reusing?

Text, image, code, claim, derivative work.

LINEAGE

Can we explain where it came from?

Sources, tool, prompt, edits, approvals.

TAKEAWAYResponsible AI use begins before the prompt and continues after the output.
/ Quick Test

Can this go into the tool?

A team wants to summarize client interview transcripts in a public AI service.

SPEED-FIRST

Upload full transcripts
Remove names only
Use output in proposal

GOVERNED

Classify data and consent
Use approved environment
Minimize inputs
Document sources and review

TAKEAWAYDe-identification, permission, tool approval, and purpose are separate questions.
/ Model

Use a four-gate governance check

The workflow should stop when a gate fails.

01Classify inputPublic, internal, confidential, personal, restricted.
02Check tool + termsApproved use, retention, training, vendor risk.
03Assess output rightsOwnership, copyright, licensing, attribution.
04Preserve provenanceSources, transformations, human approval, disclosure.
TAKEAWAYA policy is useful only when it changes what the team may do next.
/ Distinctions

Four risks require different controls

Do not collapse them into “AI ethics.”

CONFIDENTIALITY + PRIVACY

Protect client and personal data

Minimize, secure, approve, and restrict.

IP + LICENSING

Know rights in inputs and outputs

Do not assume generated means ownable.

PROVENANCE

Preserve source and transformation history

Enable audit and correction.

DISCLOSURE + ACCOUNTABILITY

State material AI use when required

Keep a human owner of the final work.

TAKEAWAYThe correct control depends on the specific data, right, and consequence.
/ Team Challenge

Approve, redesign, or stop the workflow

Evaluate four proposed uses.

Client-call transcriptionAI-generated campaign imageCompetitive web scrapingCode assistant using proprietary repository
FOR EACH: data class · approved tool? · rights risk · provenance record · disclosure · escalation decision
TAKEAWAYA useful governance answer includes the safer redesign—not only yes or no.
/ Pressure Test

Can the organization audit what happened?

Responsible use must survive a future question from the client, employee, regulator, or creator.

1.Did we have the right to provide the input?
2.What do the tool terms allow?
3.Can we locate and verify the sources?
4.Who approved the final use and carries accountability?
TAKEAWAYIf the lineage cannot be reconstructed, the output may not be usable regardless of quality.
/ Example

One governed workflow

Controls match the risk.

GATECONTROLRECORD
InputUse approved redacted source setData classification and consent
ToolEnterprise environment; no training retentionVendor and policy approval
OutputHuman fact and rights reviewEdits and source citations
ReleaseDisclosure where materialNamed approver and audit trail
TAKEAWAYGovernance enables confident use by making the conditions explicit.
/ Close

Protect the data, rights, lineage, and decision

Speed is not value if the output cannot be defended or used.

CLASSIFYKnow the input
CONTROLUse the right environment
TRACEPreserve provenance
TAKEAWAYDo not treat AI governance as a legal footer after the work is complete.
LESSON 64

AI Governance: Data, Privacy, IP, and Provenance

Choose the presentation view. Audience shows only the teaching slides. Facilitator adds timing, scripts, prompts, answer guidance and watch-outs.

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