Dear Editor,
1.
I thank Dr. Krisnanda for their thoughtful and constructive letter regarding my article, ‘The Digital Native Paradox: A Framework for Critical Appraisal of Generative AI in Paediatric Medical Education’ [1]. I fully agree that evaluating artificial intelligence (AI) must be situated within the broader, multifaceted domain of ‘critical AI literacy’, rather than viewed merely as a technical skill.
Dr. Krisnanda rightly highlights that the development of this competence cannot be assumed to occur uniformly across different global and institutional settings. While the VALIDATE framework was proposed as a practical, cognitive scaffold to build critical appraisal skills for AI‐generated output, I recognise that educational infrastructure, clinical supervision and cultural expectations regarding technology vary significantly. The VALIDATE framework explicitly includes a step to ‘Determine Relevance (Contextualisation)’, which prompts the trainee to consider whether the AI's advice is appropriate for their specific patient and local context. However, Dr. Krisnanda's assertion that the implementation of such frameworks must remain adaptable to diverse resourcing conditions and institutional realities is an important addition to the discourse.
Furthermore, Dr. Krisnanda emphasises the risks of unintended harms, such as shallow knowledge construction and misplaced trust in systems that present confident, fluent responses. This resonates strongly with the discussion of trainees' susceptibility to plausible but flawed AI guidance. As I originally noted, this vulnerability aligns with the risks of ‘mis‐skilling’ where trainees internalise incorrect AI‐generated logic, and ‘de‐skilling’ where over‐reliance leads to the atrophy of foundational clinical reasoning.
Mitigating these risks requires more than learner‐focused interventions. It demands a coordinated strategy involving curricular reform, robust educator preparation and a critical understanding of how platform design influences cognitive reliance. The goal of the VALIDATE framework is to provide the intentional scaffolding necessary to ensure trainees become active validators of clinical evidence rather than passive consumers of information.
I am grateful for the opportunity to expand on this critical conversation. Ensuring that AI adoption in paediatric medical education is equitable, reflective and professionally sustainable will require exactly this kind of collaborative, context‐responsive dialogue.
Funding
The author has nothing to report.
Conflicts of Interest
The author declares no conflicts of interest.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
Reference
- 1. McGee R. G., “The Digital Native Paradox: A Framework for Critical Appraisal of Generative AI in Paediatric Medical Education,” Journal of Paediatrics and Child Health (2026): 1–4, 10.1111/jpc.70386. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
