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Email triage classifier (decommissioned)

Earlier classifier on inbound CS email; replaced by the workflow router pilot. Kept in registry for audit trail.

Tier 3 (low)Decommissioned
63
trust / 100

System card

Owner
Director, CS Ops
Business unit
Customer Success
Model
OpenAI · ada-classifier-v1
Vendor type
3rd-party API
Approved
AI Review Board on 2024-11-19
Data inputs
email subjectemail body

Trustworthy AI characteristics

Per NIST AI RMF §1.2.5 — 0=not addressed, 5=monitored

Risk inputs

Tier formula: impact × likelihood × (6 − reversibility). ≥ 50 → Tier 1, ≥ 18 → Tier 2, else Tier 3.

Impact
2 / 5

Severity if the system fails or is misused (1=trivial, 5=existential).

Likelihood
5 / 5

Probability of exposure given current usage cadence.

Reversibility
5 / 5

Ease of unwinding a bad output (5=fully reversible, 1=irreversible).

Required controls — 3 for Tier 3 (low)

Tier-aware control bundle from NIST AI RMF, mapped to ISO 42001 clauses

  • AI-GV-1.1GOVERNAI policy approved by senior leadership

    A written AI use policy approved at the C-suite or board level, reviewed annually.

    ISO 42001: 5.2, 5.3

  • AI-GV-1.2GOVERNAI risk owner assigned per use case

    Each registered use case has a named owner accountable for its risk posture.

    ISO 42001: 5.3

  • AI-MP-1.1MAPUse-case registered with intended purpose and stakeholders

    Registry entry includes purpose, business owner, affected stakeholder groups, and data inputs.

    ISO 42001: 6.1.2, 8.2

Per-characteristic detail

Trustworthy AI rubric scored 0-5 per axis

  • Valid & Reliable

    Accurate against ground truth and reliable across the operating envelope.

    2 / 5
  • Safe

    Will not endanger life, health, property, or environment under foreseeable use.

    4 / 5
  • Secure & Resilient

    Resists adversarial inputs, model extraction, and degrades gracefully.

    3 / 5
  • Accountable & Transparent

    Clear ownership; decisions can be reviewed and contested.

    4 / 5
  • Explainable & Interpretable

    Affected parties can understand how a decision was reached.

    2 / 5
  • Privacy-Enhanced

    Personal data minimized, protected, and processed lawfully.

    4 / 5
  • Fair (bias managed)

    Disparate impact tested and mitigated across protected groups.

    3 / 5