Robustness
Sağlamlık
D4
Robustness is the goal of appropriate system functionality across a broad stated set of conditions, including unanticipated uses.
Review status: 2027-08-28
Technical explanation
It assesses appropriate functionality across the stated conditions and circumstances.
Conceptual boundaries
Robustness is not universal resilience; it is evaluated in relation to stated conditions and circumstances.
Provider-neutral example
A team can vary document quality, vocabulary, and request volume while checking whether a routing system fails in documented, reviewable ways rather than silently misrouting cases.
Limitations
Evidence from selected conditions does not establish universal resilience outside them.
Related concepts
Atomic claims and evidence
1.1NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D4 evidence slice
- Source
- NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D4 evidence slice
- Source role
- Authoritative source
- Exact locator
- Section 3.1, printed p. 14
- Supported claim
- NIST describes robustness as appropriate system functionality in a broad set of conditions and circumstances, including uses not initially anticipated.
- Last verification
- Review due
- Scope limitation
- A broad set of conditions is still bounded by the system and assessment context; it is not a claim of universal resilience.
2.1NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D4 evidence slice
- Source
- NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D4 evidence slice
- Source role
- Authoritative source
- Exact locator
- Section 3.1, printed p. 14
- Supported claim
- NIST says that accuracy and robustness contribute to validity and trustworthiness and can be in tension in AI systems.
- Last verification
- Review due
- Scope limitation
- This identifies a possible trade-off; it does not say that every accuracy improvement reduces robustness.