Protect data and rights
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The idea in everyday life
Assume inputs may be retained or processed under terms you have not memorized. Minimize data, remove identifiers, follow approved-tool policies, and never paste secrets. Check ownership, licensing, attribution, confidentiality, and affected-person expectations before publishing outputs.
Data risk depends on what enters, where it goes, how long it stays, and who can reuse or access it.
One step at a time.
Use the sample or information you have permission to use. These steps help you build your weekly project.
- 1
Classify data before use: public, internal, confidential, regulated, personal, or contract-restricted.
- 2
Check how long the tool keeps your data, whether it uses data for training, who can access it, and which privacy settings your organization provides.
- 3
Minimize inputs by redacting names, identifiers, secrets, customer data, and unnecessary source material.
- 4
Record permitted tools, prohibited data, review responsibility, and escalation steps in a simple policy.
See how it works.
Instead of uploading customer tickets, an analyst creates synthetic examples with the same categories. The team uses an approved enterprise workspace, disables optional sharing where available, prohibits API keys and health data, and requires human review for messages sent to customers.
Did you cover these?
- No password, token, private key, or authentication code enters a prompt.
- Sensitive fields are removed or replaced before processing.
- Tool terms, organizational policy, and rights to source material fit the intended use.
What to finish
A one-page AI use policy and redaction checklist for your actual environment.
Watch for this
Copying a full confidential document when only two nonsensitive paragraphs are necessary.
How can I tell I understand it?
You can decide whether a given input is allowed before opening the AI tool.
Quick knowledge check
Answer all 3 questions. Get at least 2 right and the lesson completes automatically.
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Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.
Go to the knowledge checkOptional course overview video · same video as Lesson 1
AI and Machine Learning with Google Cloud
From Google Cloud. Watch here or open it on YouTube .
The prompting techniques are only appropriate after data handling is approved. Identify which example inputs you would need to redact in a real workplace.Tools, templates, and lesson sources
Tools and templates
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Sources and further reading
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