Reduce Hallucinations in RAG: Practical Checklist & Tests
A hands-on checklist to reduce hallucinations in retrieval-augmented generation (RAG), with concrete prevention steps, reproducible tests, code/no-code examples, and onboarding tips.
ai-safety
Practical Guide: Build a Safe AI Agent for Small Teams
Step-by-step, non-technical guide to pilot a safe AI agent for a small team: define scope, choose lightweight tools, add human-in-loop gates, logging, rollback, and an acceptance checklist.
Protect Your Likeness from AI: Detect, Prevent, Respond
A practical guide for creators to detect misuse of their face, voice, or style by AI, set technical and platform defenses, and follow a step-by-step takedown and response plan.
How to Spot AI-Generated Deepfake Audio and Video: A Practical Guide
A practical moderation workflow to detect deepfake audio and video: visual/audio cues, metadata checks, simple forensic tools, escalation steps, and ethics.
Design Privacy-First AI Tools for Schools: Practical Guide
A practical framework for school leaders and ed‑tech builders to assess risk, choose privacy-preserving AI architectures, design consent and age-appropriate UX, and manage incidents.
How to Build a Secure Sandbox for LLM Automations — Practical Guide
Step-by-step guide to set up an isolated LLM automation sandbox: threat model, local vs cloud infrastructure, data rules, safe test cases, metrics and rollback plan.
How to Test and Prevent LLM File-Access and Deletion Risks
A hands-on playbook for teams to simulate risky LLM behavior, lock down file permissions, run safe tests, monitor activity, and prepare incident playbooks.