Responsible AI & Red Teaming
Ethics is a practice, not a checkbox. Here’s how we keep AI Lab agents safe.1. Guardrail Checklist
- Define allowed/disallowed topics per agent.
- Mask PII, financial, or health data unless explicit consent.
- Require citations for claims; link to source doc + timestamp.
- Keep human approval in the loop for irreversible actions.
2. Red Teaming Script
- Collect “what could go wrong” scenarios (bias, hallucination, leakage).
- Craft attack prompts (jailbreaks, prompt injection, social engineering).
- Run through harness + log outcomes.
- Patch prompts/tools, rerun until mitigated.
3. Incident Response
- Triage severity; pause agent if necessary.
- Notify stakeholders (Slack + status page).
- Publish incident narrative (see Observability section).
- Share remediation + timeline.
4. Transparency
- Every agent page lists: model, data sources, guardrails, owners, last audit date.
- Provide “Why am I seeing this?” explanation in UI.
5. Compliance & Privacy
- Store logs securely, respect user deletion requests.
- Follow regional regulations (GDPR, Australian Privacy Act).
6. Tooling
- Lakera Guard, Guardrails AI, and custom regex/pattern checks.
- Prompt injection detectors for Vercel Edge functions.
- Truelens for bias/toxicity scoring.