Reviewing AI outputs and maintaining professional judgement

The video on reviewing AI outputs and maintaining professional judgement sits within FREE08 – People Professionals and Artificial Intelligence (AI) and addresses AC 3.1, focusing on how HR practitioners can use AI tools responsibly across tasks such as drafting policies, letters, job descriptions, employee communications, and training materials. Rather than treating AI as a fully autonomous system, the video examines the distinction between AI functioning as a co-pilot and AI acting as a decision-maker, a distinction the presenter frames as central to responsible HR practice.

A substantial portion of the video is devoted to the practical review process that should accompany every AI output, covering four specific areas of scrutiny: factual accuracy, organisational appropriateness, tone, and potentially problematic content including discriminatory language or unrealistic commitments. The video also draws a direct contrast between good and poor AI outputs, identifying characteristics of each — such as logical organisation and appropriate detail on one side, and overconfident inaccuracies or unhelpful generality on the other — to help practitioners develop the skill of evaluating results quickly and critically.

The video also addresses what to do when an AI output falls short, linking output quality back to prompt construction and the role of context and specificity in generating more useful results. It returns throughout to the boundaries of what AI cannot do in an HR setting: understanding workplace relationship dynamics, organisational history, sensitive interpersonal situations, and strategic priorities. The judgement required in scenarios such as redundancy communications, where empathy and contextual awareness are essential, is presented as firmly belonging to the human practitioner rather than to any AI tool.