Education Paradigm Shift To Maintain Human Competitive Advantage Over AI

TL;DR

The paper discusses how education must evolve to help humans maintain a competitive edge over AI, especially in the era of advanced language models like ChatGPT, by focusing on developing uniquely human skills.

Contribution

It identifies fundamental weaknesses in current AI, particularly LLMs, and proposes constructivist educational strategies to ensure humans retain long-term advantages.

Findings

Current LLMs have unfixable fundamental weaknesses.

AI automates many traditionally intellectual tasks.

Educational reforms can foster uniquely human skills.

Abstract

Discussion about the replacement of intellectual human labour by ``thinking machines'' has been present in the public and expert discourse since the creation of Artificial Intelligence (AI) as an idea and terminology since the middle of the twentieth century. Until recently, it was more of a hypothetical concern. However, in recent years, with the rise of Generative AI, especially Large Language Models (LLM), and particularly with the widespread popularity of the ChatGPT model, that concern became practical. Many domains of human intellectual labour have to adapt to the new AI tools that give humans new functionality and opportunity, but also question the viability and necessity of some human work that used to be considered intellectual yet has now become an easily automatable commodity. Education, unexpectedly, has now become burdened by an especially crucial role of charting long-range strategies for discovering viable human skills that would guarantee their place in the world of the ubiquitous use of AI in the intellectual sphere. We highlight weaknesses of the current AI and, especially, of its LLM-based core, show that root causes of LLMs' weaknesses are unfixable by the current technologies, and propose directions in the constructivist paradigm for the changes in Education that ensure long-term advantages of humans over AI tools.