Preparing an AI-assisted work product for external delivery, a senior manager is applying the AI Fluency Framework Diligence competency.
Which step best reflects Diligence principles?
A.
Delegate accountability for the AI-assisted work product to Claude itself rather than retaining it as a human obligation, contrary to the Diligence principle that humans remain accountable for AI-assisted outputs.
B.
Deliver the work product without independent verification on the basis that AI assistance shifts accountability away from the human, even though Diligence holds the human fully accountable for the output.
C.
Skip verification of any element on the assumption that fluent output implies accuracy, even though Diligence requires the human to verify and correct AI-assisted outputs before they are acted upon.
D.
Identify the elements of the work product that must be independently verified or corrected before delivery, and take ownership of those verifications as a professional accountability obligation.
Option D correctly applies Diligence because it preserves human accountability throughout the use of Claude. AI assistance does not transfer responsibility for the accuracy, legality, suitability, or consequences of a deliverable to the model. The responsible professional must identify claims, calculations, citations, recommendations, and other elements requiring independent validation and must correct deficiencies before the material is distributed externally.
Anthropic defines Diligence as taking responsibility for what people do with AI and how they do it. This includes maintaining appropriate oversight, recognizing the limitations of generated content, and ensuring that important outputs receive review proportionate to their impact. Anthropic’s hallucination-reduction guidance similarly states that critical information must be validated because techniques that reduce hallucinations cannot eliminate them entirely.
Options A and B explicitly attempt to transfer accountability to Claude, which is incompatible with Diligence. Option C incorrectly treats fluent presentation as proof of factual accuracy. Language models can produce convincing but unsupported statements, so apparent confidence cannot replace verification. The manager must retain ownership of the final work product and independently validate the elements that could affect external stakeholders. Anthropic’s AI Fluency definitions and hallucination guidance
================
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit