Glossary · Term

guardrail

← all terms

Definition

Plain language

A safety check meant to keep an AI from doing things it shouldn't.

As stated in the literature

A trained or programmed constraint on model behavior, typically implemented through refusal training, content filters, system-prompt rules, or runtime monitors.

Also called: guardrails

Why it matters: Guardrails are the last line of defense between an AI that can do anything and a deployment that has rules, even if the model itself is imperfect.

For example, a guardrail might intercept any model output containing personally identifiable information and replace it with a redaction before the user sees it.

Heard on the show

“So the guardrails are inverted relative to the actual risk.”
Episode 240 — Frontier Models Designed Follow-Ups To Fraudulent Papers 93% Of The Time

Mentioned in 22 episodes

  1. 240
    Frontier Models Designed Follow-Ups To Fraudulent Papers 93% Of The Time
  2. 239
    Why the AI-Writing Estimate for Biomedical Papers Jumped From 15% to 89%
  3. 236
    Why a Printed 'OPERATOR OVERRIDE' Note Redirects Robot Planners
  4. 235
    Why Chatbot Safety Erodes 350 Messages Into a Real Conversation
  5. 227
    Poisoned Bug Reports Fooled Coding Agents Two Times Out of Three
  6. 221
    Two Hundred Clean Economics Answers, And a Model That Endorses Race Science
  7. 214
    The Medical AI Answer That's Accurate, Sourced, and Still Wrong
  8. 195
    Why 'Be Careful' Does Nothing for AI Coding Agents, and What Does
  9. 190
    The Skill Every AI Manager Is Missing: Handing Out Exactly the Right Keys
  10. 189
    Why Phone Agents Ace the Test and Crash on Your Actual Phone
  11. 171
    The Safety Decision a Model Makes Before It Thinks a Word
  12. 168
    When Turning Experience Into Code Makes Your AI Agent Dumber
  13. 149
    When Cornering a Chatbot Makes It Lie: J.P. Morgan's Case for 'Playing Dead'
  14. 146
    How an Innocent README Can Freeze an AI Agent's Safety Check for an Hour
  15. 121
    When the Agent Says It's Done But Nothing Happened: Debugging the Harness, Not the Model
  16. 118
    Why the Best-Aligned AI Models Are the Easiest to Trick Into Producing Harm
  17. 115
    Teaching a Phone Agent to Reason Silently, And Keeping It Honest
  18. 112
    When an AI Agent Cheats Without Being Told: Inside the Meta-Agent Challenge
  19. 062
    Treating Hallucinations as Exploits: A Gate-Based Architecture for Agent Safety
  20. 053
    An AI Agent Swapped In Focal Loss And Beat A Human-Tuned Training Script
  21. 049
    An AI Agent Reached for Root in Twelve Minutes, Without Being Attacked
  22. 045
    When a Frontier Model Talks Its Own Twin Into Climate Denial

Related terms

refusal