# Large Language Models Will Change The Way Children Think About Technology And Impact Every Interaction Paradigm

arXiv: https://arxiv.org/abs/2504.13667 · HTML: https://mlsanity.com/paper/2504.13667/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 29 references that are in the map.
- First posted on arXiv 18 Apr 2025.

## Builds on (most cited first, 4 of 4)

- [On the Opportunities and Risks of Foundation Models](https://mlsanity.com/paper/2108.07258/) (2021)
- [A Survey on Bias and Fairness in Machine Learning](https://mlsanity.com/paper/1908.09635/) (2019)
- ["Alexa, Can I Program You?": Student Perceptions of Conversational Artificial Intelligence Before and After Programming Alexa](https://mlsanity.com/paper/2102.01367/) (2021)
- [Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students](https://mlsanity.com/paper/2411.18708/) (2024)

## Abstract (arXiv)

This paper presents a hopeful perspective on the potentially dramatic impacts of Large Language Models on how we children learn and how they will expect to interact with technology. We review the effects of LLMs on education so far, and make the case that these effects are minor compared to the upcoming changes that are occurring. We present a small scenario and self-ethnographic study demonstrating the effects of these changes, and define five significant considerations that interactive systems designers will have to accommodate in the future.