I-D Action: draft-abak-ai-evaluation-claim-preservation-00.txt

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Internet-Draft draft-abak-ai-evaluation-claim-preservation-00.txt is now
available.

   Title:   Claim-Preserving Exchange of AI Evaluation Evidence
   Author:  Ali Toygar Abak
   Name:    draft-abak-ai-evaluation-claim-preservation-00.txt
   Pages:   28
   Dates:   2026-09-23

Abstract:

   AI evaluation records can pass through evaluation frameworks,
   exporters, evidence services, independent reviewers, and systems that
   make decisions.  A conversion can retain a score while losing whether
   the measurement ran, which result was selected, whether a criterion
   existed, or which evidence was unavailable.  Authenticating the
   converted record does not recover these distinctions.

   This document specifies format-neutral requirements for mapping
   profiles and consumers that exchange AI evaluation evidence.  It
   separates source assertions, explicit derivations, and later policy
   judgments; requires claim-relevant loss and uncertainty to remain
   visible; and describes consumer behavior when preservation cannot be
   established.  It includes synthetic counterexamples and guidance for
   composition with existing evidence mechanisms.  It defines neither a
   wire format nor an evaluation benchmark, safety certification,
   authorization protocol, or new cryptographic envelope.  A concrete
   mapping profile is needed for interoperable implementation.

The IETF datatracker status page for this Internet-Draft is:
https://datatracker.ietf.org/doc/draft-abak-ai-evaluation-claim-preservation/

There is also an HTML version available at:
https://www.ietf.org/archive/id/draft-abak-ai-evaluation-claim-preservation-00.html

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