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Potential cognitive risks of generative transformer-based AI chatbots on higher order executive functions
1School of Psychology, University of Monterrey.
Neuropsychology
|February 1, 2024
Summary
Artificial Intelligence chatbots like ChatGPT may reshape human cognition by reducing cognitive load, potentially altering future generations' thinking processes. Understanding these AI impacts is crucial for educational and policy planning.
Area of Science:
- Cognitive Science
- Neuroscience
- Artificial Intelligence
Background:
- Chat generative retrained transformer (ChatGPT) is an advanced AI chatbot utilizing transformer algorithms for enhanced natural language processing.
- AI chatbots can generate human-like verbal instructions for task completion, mirroring human problem-solving approaches.
Purpose of the Study:
- To explore the potential impact of AI chatbots on the evolutionary aspects of human cognitive development.
- To propose hypotheses on how advanced AI models may influence future generations' cognitive processes and structures.
Main Methods:
- Theoretical article employing forward inference.
- Utilizing the "neuronal recycling hypothesis" as a framework.
- Examining the concept of "cognitive offloading" through technological tools.
Main Results:
- Hypotheses proposed on the neurocognitive effects of AI chatbot integration.
- Anticipation of structural transformation in the brain due to new cultural tools.
- Exploration of reduced cognitive demand in task-solving via AI.
Conclusions:
- Forecasting neurocognitive effects of AI is essential for proactive planning.
- Educational and political bodies can strategize to manage AI's cognitive influence.
- Anticipating future scenarios allows for mitigation or enhancement of cognitive impacts.
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