# AI-Assisted Writing in Education: Ecosystem Risks and Mitigations

arXiv: https://arxiv.org/abs/2404.10281 · HTML: https://mlsanity.com/paper/2404.10281/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 23 references that are in the map.
- First posted on arXiv 16 Apr 2024.

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

- [CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities](https://mlsanity.com/paper/2201.06796/) (2022)
- [A Design Space for Intelligent and Interactive Writing Assistants](https://mlsanity.com/paper/2403.14117/) (2024)
- [Writing Tools: Looking Back to Look Ahead](https://mlsanity.com/paper/2303.17894/) (2023)
- [Untangling Critical Interaction with AI in Students Written Assessment](https://mlsanity.com/paper/2404.06955/) (2024)

## Abstract (arXiv)

While the excitement around the capabilities of technological advancements is giving rise to new AI-based writing assistants, the overarching ecosystem plays a crucial role in how they are adopted in educational practice. In this paper, we point to key ecological aspects for consideration. We draw insights from extensive research integrated with practice on a writing feedback tool over 9 years at a university, and we highlight potential risks when these are overlooked. It informs the design of educational writing support tools to be better aligned within broader contexts to balance innovation with practical impact.