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arXiv · 2401.01001

Metalearning-Informed Competence in Children: Implications for Responsible Brain-Inspired Artificial Intelligence

Chaitanya Singh
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Abstract

This paper offers a novel conceptual framework comprising four essential cognitive mechanisms that operate concurrently and collaboratively to enable metalearning (knowledge and regulation of learning) strategy implementation in young children. A roadmap incorporating the core mechanisms and the associated strategies is presented as an explanation of the developing brain's remarkable cross-context learning competence. The tetrad of fundamental complementary processes is chosen to collectively represent the bare-bones metalearning architecture that can be extended to artificial intelligence (AI) systems emulating brain-like learning and problem-solving skills. Utilizing the metalearning-enabled young mind as a model for brain-inspired computing, this work further discusses important implications for morally grounded AI.

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Chaitanya Singh. 2023-09-05. Metalearning-Informed Competence in Children: Implications for Responsible Brain-Inspired Artificial Intelligence. https://arxiv.org/abs/2401.01001

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