Privacy Responsible Ai.instructions
---
description: "Privacy by design, data protection, and responsible AI principles"
applyTo: "**/*privacy*,**/*pii*,**/*responsible*ai*,**/*ethic*"
lastReviewed: 2026-04-30
---
# Privacy & Responsible AI
## Privacy by Design
1. **Minimize**: Collect only what's needed
2. **Purpose limit**: Use data only for stated purpose
3. **Anonymize**: Remove identifiers when possible
4. **Encrypt**: Protect at rest and in transit
5. **Expire**: Delete when no longer needed
## PII Handling
| Data Type | Classification | Handling |
|-----------|----------------|----------|
| Name + contact | Personal | Standard protection |
| SSN, health | Sensitive | Encryption, access control |
| Anonymized | Not PII | Verify truly anonymous |
## Responsible AI
- **Fairness**: Check for bias in training data and outputs
- **Transparency**: Explain AI decisions when impactful
- **Human oversight**: Escalation path for AI errors
- **Safety**: Content filtering, rate limits
## Anti-Patterns
- Collecting "just in case"
- Logging PII in plaintext
- No data retention policy
- AI decisions without appeal
## Would Revise If
Revise if the privacy-by-design 5 steps are treated as a checklist rather than design principles (theater not discipline), if the PII handling table misses a category that arises in real heir work (e.g. biometric, location, behavioral), or if the responsible-AI principles are cited in code review without being operationalized at actual decision points.when to use it
Community prompt sourced from the open-source GitHub repo fabioc-aloha/Alex_ACT_Edition (MIT). A "Privacy Responsible Ai.instructions" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
roleplaycommunitygeneral
source
fabioc-aloha/Alex_ACT_Edition · MIT