How to Teach Literacy to Artificial Neural Networks Making AI intelligent by Learning from other Disciplines

What does literacy mean in AI? Generative AI, especially Large Language Models (LLM), use statistical relevance to build responses to prompts. Literacy in education means understanding cause and effect from a text and why one observation follows another. It has to do with the real world and some understanding of how the grounding behaves and works. This kind of learning can be achieved with intelligent systems that combine AI engines with traditional programming, or in terms of the Graph Model of Combinatorial Logic: Observations and Concepts with Lambda Concepts. In conclusion, it is very helpful to listen to other disciplines for making AI intelligent. The respective task list for AI engineers includes, but is not limited to, education and teaching to children and humans. Keywords: artificial intelligence, generative pretrained translators, knowledge acquisition transformation, intelligent systems

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Publication Details

Journal
Athens Journal of Sciences
Published
2025-02-03
DOI
https://doi.org/10.30958/ajs.12-1-4
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

How to Teach Literacy to Artificial Neural Networks Making AI intelligent by Learning from other Disciplines

Eberhard Kranich, Thomas Fehlmann
Athens Journal of Sciences
Intelligent Tutoring Systems and Adaptive Learning
article

How to Teach Literacy to Artificial Neural Networks Making AI intelligent by Learning from other Disciplines

Eberhard Kranich, Thomas Fehlmann
article en

Abstract

What does literacy mean in AI? Generative AI, especially Large Language Models (LLM), use statistical relevance to build responses to prompts. Literacy in education means understanding cause and effect from a text and why one observation follows another. It has to do with the real world and some understanding of how the grounding behaves and works. This kind of learning can be achieved with intelligent systems that combine AI engines with traditional programming, or in terms of the Graph Model of Combinatorial Logic: Observations and Concepts with Lambda Concepts. In conclusion, it is very helpful to listen to other disciplines for making AI intelligent. The respective task list for AI engineers includes, but is not limited to, education and teaching to children and humans. Keywords: artificial intelligence, generative pretrained translators, knowledge acquisition transformation, intelligent systems

Athens Journal of SciencesVol. 12(1)
Openalex Percentile: Top 99%
Intelligent Tutoring Systems and Adaptive Learning
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How to Teach Literacy to Artificial Neural Networks Making AI intelligent by Learning from other Disciplines — Eberhard Kranich, Thomas Fehlmann · Athens Journal of Sciences (2025) | TGRS Research Map | TGRS