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Final Review

Paper Nº 11

Co-Designing a Trust Calibration Checklist for AI Practitioners: A Case Study on AI stakeholders
26/30
Score
Strong, quote-level traceability from interviews to checklist revisions and a well-structured two-round design, undercut by a small homogeneous (all software-leaning) sample, weak abstract/intro prose, and several internal inconsistencies (D5 missing from the V3 appendix, mismatched reference title).
Software Developer

The Pros

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Clear iterative logic: V1 literature prototype, Round 1 practitioners (P1–P3), Round 2 governance/QA (P4–P5), with a stated rationale for the insider-vs-oversight contrast.
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Excellent traceability: every revision is tied to a specific participant quote and mapped onto a named limitation, and the full interview transcripts are included for verification.
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The five-theme thematic analysis (active verification, plausibility-accuracy decoupling, reputation vs testing, time pressure, accountability/logging) is coherent and well-evidenced.
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The B/D/A timing markers (Before/During/After) are a genuinely useful operational addition that anchors items to workflow checkpoints.
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The worked use case applies V3 systematically and reaches a defensible conditional-trust verdict with explicit failure conditions (e.g., A4 or D3 failing blocks deployment).

The Cons

Only five participants, all in or adjacent to software engineering; the claim of a "governance/oversight" perspective is thin since P4/P5 are still technically fluent, limiting the diversity the design depends on.
The abstract and introduction read informally and unevenly ("But 'Why do we have this gap?'", "System Reliability Gap" used without definition), and terminology drifts between "Impact Assessment Template" and "checklist".
Internal inconsistency: the worked use case invokes item D5 ('Assisted by AI' tag) but the V3 checklist reproduced in the appendix stops at D4.
Reference [1] is titled "...Autonomous Urban Drone Navigation System," which does not match the pedestrian-detection / software-developer framing used throughout — the provenance from Deliverable 1 is unclear.
No participant demographics, no reporting of how representative or saturated the five interviews were, and generalizability claims exceed what five software-centric interviews can support.
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Final Review · Paper 11The IndexAI Checklists · 2026