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Final Review

Paper Nº 13

Practical Checklist for Responsible AI Integration in Workplace Tasks
27/30
Score
A thorough five-version evolution with a genuinely actionable scoring/decision-logic layer and detailed changelogs, but limited by a single-sector stakeholder pool, an unjustified scoring rubric, and a stylistically erratic Data Analysis section that undermines methodological credibility.
3D Modeling

The Pros

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Five iterations with three distinct activities (peer review, storyboard, seven stratified operational/strategic interviews) and a per-transition changelog table for each step.
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The V5 Decision Logic (binary "absolute blockers" + 5-point Likert + three-tier triage) gives the tool a concrete managerial output that several other submissions lack.
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The worked use case produces an explicit numerical breakdown (33/45, 73%, "Partial Automation Recommended"), demonstrating the rubric end-to-end.
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"Design requirements" added under every V5 item turn the checklist from an evaluation hurdle into a generative blueprint — a strong, well-motivated move.
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Anonymized interview notes with direct quotes (e.g., "would require double the effort") clearly evidence the stakeholder-to-change links.

The Cons

Section 3.2 (Data Analysis) is written in a vague, quasi-poetic register ("Meaning built slowly, pulled together by repetition rather than assumption") that obscures the actual coding procedure and reads as unprofessional for a methods section.
The scoring tiers (e.g., 50–80% = "Medium" → partial automation) and Likert-to-points mapping are asserted without justification or sensitivity discussion.
Single sector (industrial/parametric 3D design); generalizability is limited and the paper acknowledges this but still markets cross-sector transferability in the abstract.
Stakeholder count is ambiguous: "seven industry professionals" but Table 1 bundles "VP & Commercial Director" as one row, making the operational/strategic split hard to verify.
References are dated and generic (mostly 2018–2019 ethics frameworks); no demographic table for the interviewees.
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Final Review · Paper 13The IndexAI Checklists · 2026