# Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships

arXiv: https://arxiv.org/abs/2604.07601 · HTML: https://mlsanity.com/paper/2604.07601/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 42 references that are in the map.
- First posted on arXiv 8 Apr 2026.

## Builds on (most cited first, 5 of 5)

- [Flood forecasting with machine learning models in an operational framework](https://mlsanity.com/paper/2111.02780/) (2021)
- [Predicting Risk of Developing Diabetic Retinopathy using Deep Learning](https://mlsanity.com/paper/2008.04370/) (2020)
- [Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning](https://mlsanity.com/paper/1810.10342/) (2018)
- [AI Increases Global Access to Reliable Flood Forecasts](https://mlsanity.com/paper/2307.16104/) (2023)
- [A Self-Efficacy Theory-based Study on the Teachers Readiness to Teach Artificial Intelligence in Public Schools in Sri Lanka](https://mlsanity.com/paper/2412.19425/) (2024)

## Abstract (arXiv)

Enabling AI literacy in the general population at scale is a complex challenge requiring multiple stakeholders and institutions collaborating together. Industry and technology companies are important actors with respect to AI, and as a field, we have the opportunity to consider how researchers and companies might be partners toward shared goals. In this symposium, we focus on a collection of partnership projects that all involve Google and all address AI literacy as a comparative set of examples. Through a combination of presentations, commentary, and moderated group discussion, the session, we will identify (1) at what points in the life cycle do research, practice, and industry partnerships clearly intersect; (2) what factors and histories shape the directional focus of the partnerships; and (3) where there may be future opportunities for new configurations of partnership that are jointly beneficial to all parties.