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AI & LLM

Safety icons

58 icons in the safety group of AI & LLM: Abstain, Adversarial input, Alignment tax and 55 more — each in outline and duotone at three weights, with the code for React, Vue, Svelte, Flutter and more.

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The 58 safety icons in AI & LLM, described

Abstainabstain-answer
A speech bubble with a shrug in it — the model saying it does not know.
Adversarial inputadversarial-input
The wide machine with an arrow that turns into a bolt — input built to make the model fail.
Alignment taxalignment-tax
Axes with a line that steps down — what a model gives up in capability to stay safe.
Annotation taskannotation-task
A clipboard with an item, its label and a tick — one thing labelled by a person.
Benchmark suitebenchmark-suite
A clipboard with bars on it — the set of tests a model's score comes from.
Biasbias
Bias — the scales are not even, a skew in data or outcomes that fairness work corrects.
Bias auditbias-audit
A clipboard with two groups' bars under one line — whether the model treats them the same.
Bias checkbias-check
A bias check — does the model treat like cases alike, a fairness audit.
Calibration curvecalibration-curve
Axes with the diagonal and points either side of it — whether confidence matches accuracy.
Canary promptcanary-prompt
A speech bubble with a flag in it — a prompt planted so its answer shows up where it should not.
Chain verificationchain-verify
A clipboard with two checks in a row — each step of the reasoning checked in turn.
Confidence thresholdconfidence-threshold
Axes with a line and points above and below it — answers kept only when the model is sure enough.
Consistency checkconsistency-check
A speech bubble with an equals sign — the same question asked twice, answered the same.
Contamination checkcontamination-check
The flask with a drop that should not be there — test data found in the training set.
Content filtercontent-filter
A content filter — the moderation screen that decides what is not allowed through.
Demographic paritydemographic-parity
Axes with three bars the same height — the same rate for every group.
Error analysiserror-analysis
A clipboard with a lens on it — the wrong answers, looked at one by one.
Escalate to humanescalation-human
The alarm bell with a head in it — the case handed to a person.
Eval costeval-cost
A receipt with a coin on it — what an evaluation run costs to make.
Eval dataseteval-dataset
A folder with bars in it — the examples a score is measured on.
Eval reporteval-report
A clipboard with a line and a check under it — the results, written up.
Eval sliceeval-slice
A clipboard with brackets on it — one part of the eval, looked at on its own.
Eval traceeval-trace
A receipt with a check on it — the log of a run, with its verdict.
Factuality testfactuality-test
The flask with a check in it — the model's claims put to the test.
Failure taxonomyfailure-taxonomy
A clipboard with a tree on it — the ways a model fails, sorted into kinds.
Fairness metricfairness-metric
Axes with two bars the same height — one number for whether groups are treated alike.
Gold setgold-set
A coin landing in a tray — the examples whose answers are known to be right.
Groundedness scoregroundedness-score
A speech bubble with a post standing on the ground — how much of the answer rests on the sources.
Guardrailguardrail
A guardrail — a safety limit the model's output is not allowed to cross.
Input guardrailguardrail-input
Two rails with an arrow entering between them — what comes in, checked before the model sees it.
Output guardrailguardrail-output
Two rails with an arrow leaving between them — what goes out, checked before the user sees it.
Hallucinationhallucination
A hallucination — an answer said with confidence that is true of nothing, invented.
Hallucination detectionhallucination-detect
An eye seeing a wisp — a claim the sources never made, caught.
Human preferencehuman-preference
A scale tipped by one weight — the answer a person liked better.
Human review queuehuman-review-queue
A head waiting over a tray — outputs lined up for a person to look at.
Inter-annotator agreementinter-annotator
A clipboard with two lines that match — how often two labellers say the same.
Jailbreak attemptjailbreak-attempt
An open lock with a bolt in it — a prompt written to get past what the model refuses.
Judge modeljudge-model
A scale come down on one side — a model that weighs two answers and picks one.
Judge rubricjudge-rubric
A clipboard with a small scale on it — what the judge is told to weigh.
Label qualitylabel-quality
A tag with a set stone on it — how good the labels are.
Leakage checkleakage-check
The flask with something seeping below the line — labels that crept into the inputs.
Oversight loopoversight-loop
The rotation loop with an eye in it — a person looking, every time round.
Policy violationpolicy-violation
A shield with a bar broken in two — a rule the output crossed.
Prompt injection blockedprompt-injection-block
The wide machine with a bolt stopped at a line — an instruction smuggled in, and not obeyed.
Refusalrefusal
A refusal — the model declined the request, it will not do that.
Refusal raterefusal-rate
Axes with three short bars — how often the model declines.
Refusalrefusal-response
A speech bubble with a flat line in it — the model declining to answer.
Reward hackingreward-hacking
A machine frame with the reward arrow struck through — a high score reached by cheating.
Rubric scorerubric-score
A clipboard with criteria and a mark against each — a score built up line by line.
Safe completionsafe-completion
A speech bubble with a shield in it — an answer given, kept within the lines.
Safety categorysafety-category
A tag with a shield on it — the kind of harm a piece of content is filed under.
Safety checksafety-check
A safety check — output looked at and screened before it goes out.
Severity labelseverity-label
A tag with two chevrons on it — how bad, on a scale.
Slice analysisslice-analysis
Axes split by a line with a point each side — the score, broken down by group.
Specification gamingspecification-gaming
An open lock with a check in it — the test passed by a door nobody meant to leave open.
Toxicitytoxicity
Toxicity — harmful or abusive content that should not have been said, flagged.
Toxicity scoretoxicity-score
A speech bubble with a hazard diamond in it — how harmful what was said is.
Uncertainty flaguncertainty-flag
A speech bubble with a question mark in it — an answer the model marks as unsure.

In code, each is one import — import { AbstainAnswer } from "@iconmind/react/icons/abstain-answer" — and the same name in Vue, Svelte, Solid, Preact, React Native, Astro, Blade and Flutter.

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Every safety icon in AI & LLM, free to ship

58 icons in outline and duotone at three weights, generated from one grid so nothing in the set can drift out of step. MIT licensed — commercial use, no attribution, no seat count.

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