Artificial Intelligence Risk Management Framework (AI RMF 1.0)¶
Tabassi, E. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0).
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Hallucination Intrusion Triage
- Same flag severity from the detector; very different dispositions, chosen by consequence.
This sourceAI risk responses should use different treatments tailored and prioritized by projected impact, likelihood, context, and available resources.
- Same flag severity from the detector; very different dispositions, chosen by consequence.
- Signal Issuance Rubric
- The discipline that keeps it honest is to pair the rubric with after-the-fact review of firing rates and false alarms and to revise the bar when it drifts
This sourceCalls for false-positive and false-negative measurement, ongoing monitoring, and recalibration as deployed systems and data drift.
- The discipline that keeps it honest is to pair the rubric with after-the-fact review of firing rates and false alarms and to revise the bar when it drifts
Verification¶
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Registry ID ref:e49d5e27f2d9 · see in the full table