MR-058 Model & system behaviour System scope

Model performance drift and degradation over time

Model performance degrades post-deployment due to data/concept drift, knowledge staleness, or catastrophic forgetting.

Risk family: Model & system behaviour
MIT domain: 7. AI System Safety, Failures, & Limitations
MIT subdomain: 7.3 > Lack of capability or robustness
AI type: GPAI, Classical_ML
Scope: System
Source standard: MIT AI Risk Repository v4

Provenance

Source standard

MIT AI Risk Repository v4

MIT source entries

9 entries across 6 papers

Gipiškis2024Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems62.15.10 62.30.04
Hendrycks2023An Overview of Catastrophic AI Risks22.04.02
Liu2024Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment30.07.00
Saghiri2022A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions39.13.00
Schnitzer2024AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks59.23.00 59.24.00 59.25.00
Zhang2022Towards risk-aware artificial intelligence and machine learning systems: An overview21.01.02

Ev IDs of the entries consolidated into this risk in the MIT AI Risk Repository (V4); the source sheet row appears on hover.

ISO/IEC references

23894 obj A.7, A.9; src 8; mech B.8 | 42001 ctrl A.6.2.6

Framework crosswalk

Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.

Sourcesframeworks that contributed to the register

A.7 ISO/IEC 23894 Annex A A.7
A.9 ISO/IEC 23894 Annex A A.9

A.6.2.6 ISO/IEC 42001 Annex A A.6.2.6

Cross-checksframeworks mapped in to test coverage

ibm-improper-retraining Improper retraining partial

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Part of the Deployer AI Risk Register, an open-source resource powered by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.