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Work item:
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J.AIID-IBC
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Subject/title:
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Schema and Taxonomy for AI Incident Databases in Integrated Broadband Cable Networks
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2026-07 (Medium priority)
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Liaison:
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ITU-T SG17
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Supporting members:
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-
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Summary:
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This [draft new] Recommendation aims to define a standardized schema and taxonomy for AI incident databases in integrated broadband cable networks (AIID-IBC). It provides a machine-readable framework for systematically recording, categorizing, and exchanging incidents that occur when AI-enabled functions are deployed in cable infrastructures and end-user devices.
The Recommendation responds to the growing reliance on AI for personalization, QoS optimization, network automation, and zero-touch fault management. These functions, while beneficial, can lead to failures such as QoS degradation, service mis-personalization, accessibility gaps, bias, or vulnerabilities in conditional access and digital rights management. At present, there is no harmonized ITU-T framework to capture such incidents in a structured, interoperable manner, which limits data-driven resilience and trust-building.
By defining both a schema for structured data and a taxonomy of AI-related harms, the Recommendation will enable consistent documentation, facilitate meaningful analysis, and support corrective and preventive measures. The taxonomy will align with J.1600-series data models and operational KPIs, ensuring integration with existing SG21 work on AI-assisted cable platforms.
The Recommendation is intended for adoption by service providers, vendors, regulators, and researchers. It will improve resilience, strengthen incident response, and enhance reliability in AI-enabled cable services. In addition, it will ensure interoperability with global initiatives such as ISO/IEC and OECD AI incident reporting guidelines, while providing the sector-specific focus required for broadband cable infrastructures.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2025-11-18 12:26:28
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Last update:
2025-11-18 16:13:50
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