The lack of longitudinal studies examining AI's long-term
Research gap analysis derived from 3 psychology papers in our local library.
The gap
The lack of longitudinal studies examining AI's long-term cognitive impacts. - The need for comparative studies evaluating AI against evidence-based alternatives. - The lack of research examining individual differences moderating AI's cogni
Evidence profile
Stated in the inline gaps and abstract and cells research gap sections of the source papers, classified as general, drawn from work published between 2023 and 2026, spanning 3 journals. Those papers have been cited 91 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- AI, Cognition, and the Biosociotechnological Mesh: An Introductory Ontological and Strategic Framework for Understanding Postbiotic Cognition Systems, Their Impacts, and Systemic Risks (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
Third, it remains unclear what replacement capacities AI-dependence creates in return. Whether AI-mediated cognition follows this pattern, or whether its coupling to biological reward systems and its speed of deployment introduce qualitatively different risks, remains an open empirical question. This leads to several predictable effects: • Ambiguity becomes aversive: the mind grows less tolerant of open questions, partial understanding, or slow-progress problem spaces.
generalstated in inline gapsevidence 5/5Keywords: remains whether open third unclear replacement capacities dependence creates return mediated cognition follows pattern coupling - Ironies of artificial intelligence (2023) · Ergonomics · cited 91× · doi
Five ironies of AI are presented including difficulties with understanding AI and forming adaptations, opaqueness in AI limitations and biases that can drive human decision biases, and difficulties in understanding the AI reliability, despite the fact that AI remains insufficiently intelligent for many of its intended applications.
generalstated in abstractevidence 5/5Keywords: difficulties understanding biases five ironies presented including forming adaptations opaqueness limitations drive human decision reliability - Artificial Intelligence in Applied Cognitive Psychology: A Commentary (2026) · International Journal of Cognitive Research in Science Engineering and Education · doi
The lack of longitudinal studies examining AI's long-term cognitive impacts. - The need for comparative studies evaluating AI against evidence-based alternatives. - The lack of research examining individual differences moderating AI's cognitive impact.
generalstated in cells research gapevidence 5/5Keywords: lack longitudinal studies examining long-term cognitive impacts need
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