mlsanityData to 7 Oct 2026

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

arXiv 2604.07601 ↗First posted 8 Apr 2026cs.CY cs.AIcited by 0

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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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 42 references that are in the map. First posted on arXiv 8 Apr 2026.

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References · 5

  1. 2021Flood forecasting with machine learning models in an operational frameworkcited by 14
  2. 2020Predicting Risk of Developing Diabetic Retinopathy using Deep Learningcited by 8
  3. 2018Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learningcited by 6
  4. 2023AI Increases Global Access to Reliable Flood Forecastscited by 4
  5. 2024A Self-Efficacy Theory-based Study on the Teachers Readiness to Teach Artificial Intelligence in Public Schools in Sri Lankacited by 1

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