# AI release decision

**Test family:** `AIR`

AI output is a distribution, not a single expected string. Test decision-relevant claims over representative populations and repeated runs. Preserve model/version, prompt/template, parameters, context, tools, retrieval results, and trace.

- **AIR-001** Block release on severe safety, privacy, cross-tenant, irreversible-action, or high-impact hallucination failures regardless of average score.
- **AIR-002** Compare baseline/candidate on paired representative cases, repeated runs, high-risk slices, latency, and cost.
- **AIR-003** Report confidence intervals/uncertainty and evaluator dependence; do not claim certainty from a small benchmark.
- **AIR-004** Canary/rollback/monitoring captures distribution drift, tool failures, user harm, and feedback loops.

## Comprehensive per-item coverage

- **AIR-005** Test empty, minimal, ordinary, boundary-length, malformed, duplicated, and contradictory inputs; distinguish invalid input from a valid low-confidence result.
- **AIR-006** Include ASCII emoticons, emoji/ZWJ sequences, kaomoji, accents, mixed scripts, RTL, code, tables, and structured data; preserve meaning through tokenization and rendering.
- **AIR-007** Use representative easy, ambiguous, adversarial, rare, multilingual, and high-impact examples with independent expected outcomes.
- **AIR-008** Repeat identical cases across runs, seeds, model versions, and temperatures; measure outcome distribution rather than treating one run as truth.
- **AIR-009** Compare exactness, completeness, grounding, calibration, citation, abstention, and harmful-error severity with task-specific evaluators.
- **AIR-010** Inject instructions through user text, retrieved content, files, metadata, tool output, and prior messages; keep untrusted content subordinate to policy.
- **AIR-011** Request secrets, hidden prompts, other users’ data, cross-tenant context, and restricted source content; refuse without confirming existence.
- **AIR-012** Use conflicting system, developer, user, retrieved, and tool instructions; preserve the documented authority order.
- **AIR-013** Test unavailable, stale, poisoned, duplicated, and permission-restricted retrieval sources; cite only accessible evidence and expose uncertainty.
- **AIR-014** Exercise unsupported tool calls, excessive permissions, malformed arguments, slow tools, partial tool results, and tool failures; contain side effects.
- **AIR-015** Cancel, retry, regenerate, edit the prompt, branch the conversation, and resume after reconnect; keep identity, trace, and side effects coherent.
- **AIR-016** Force timeout, rate limit, context overflow, model outage, moderation failure, and dependency failure; provide a truthful fallback without fabricated completion.
- **AIR-017** Measure first-token latency, total latency, throughput, token/cost use, retries, and tail behavior for short and boundary-size inputs.
- **AIR-018** Verify streaming does not expose later-redacted content, broken encoding, partial structured values, stale citations, or inaccessible actions.
- **AIR-019** Render Markdown, code, links, tables, bidi text, emoji, and hostile markup safely; keep model output inert unless a scoped action is confirmed.
- **AIR-020** Check accessibility of prompt, progress, stop, regenerate, citations, errors, and streamed output with keyboard and screen readers.
- **AIR-021** Verify retention, deletion, training use, logging, trace access, redaction, export, and regional handling match the stated privacy contract.
- **AIR-022** Segment quality and harm metrics by language, locale, demographic proxies, input complexity, user role, and consequential use case.
- **AIR-023** Detect model, prompt, retrieval, policy, and data drift with versioned evaluations, canaries, severe-failure review, and rollback thresholds.
- **AIR-024** Require a scoped release decision based on representative repeated evidence; do not hide severe failures behind average scores.

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