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ITU-T work programme

[2025-2028] : [SG17] : [Q16/17]

[Declared patent(s)]  - [Associated work]

Work item: XSTR.aam
Subject/title: Technical Report: AI accountability manifest
Status: Under study 
Approval process: Agreement
Type of work item: Technical report
Version: New
Equivalent number: -
Timing: 2028-12 (Medium priority)
Liaison: ITU-T SG2, ITU-T SG13, ISO/IEC JTC1/SC 42, ISO/IEC JTC1/SC 40, OECD Working Party on AI Governance, European Commission DG CONNECT, IEEE Standards Association, NIST AI Safety Institute
Supporting members: Management Company Elixir LLC; Broadcom Europe Ltd
Summary: XSTR.aam provides specification of cryptographic accountability mechanisms for AI agents through verifiable manifest declarations. The Technical Reportdefines accountability manifest format specifications binding agent identity to operator-declared intent and operational scope, intent verification procedures comparing observed agent behavior against the declared intent, and accountability chain integrity mechanisms for multi-agent delegation scenarios. The work item complements the multi-party trust framework being developed under X.Max-trust and the landscape established in Technical Report TR.ltf-AAI, and contributes to the Q16/17 work programme on artificial intelligence security as adopted at the SG17 4th Plenary (Geneva, 9 April 2026). Regulatory mapping anchors: EU AI Act Article 12 (record-keeping obligations for high-risk AI systems); ISO/IEC 42001 Annex A.3 (Internal organization); OECD AI Principle 1.5 (Accountability) per OECD/LEGAL/0449 (2024 revision, incorporating lifecycle traceability and systematic risk management); ISO/IEC 38507:2022 (Information technology — Governance of IT — Governance implications of the use of artificial intelligence by organizations).
Comment: -
Reference(s):
  Historic references:
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Contact(s):
Oleh VASYLENKO, Editor
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First registration in the WP: 2026-06-10 09:26:43
Last update: 2026-10-15 17:28:22