Google, AI Literacy, and the Learning Sciences: Multiple Modes of Research, Industry, and Practice Partnerships
Victor R. Lee, Michael Madaio, Ben Garside, Aimee Welch, Kristen Pilner Blair, Ibrahim Oluwajoba Adisa, Alon Harris, Kevin Holst, Liat Ben Rafael, Ronit Levavi Morad, Ben Travis, Belle Moller, Andrew Shields, Zak Brown, Lois Hinx, Marisol Diaz, Evan Patton, Selim Tezel

TL;DR
This paper discusses the importance of multi-stakeholder partnerships, especially involving Google, to enhance AI literacy through collaborative research, practice, and industry efforts.
Contribution
It presents a collection of partnership projects with Google focusing on AI literacy, analyzing their intersections, influences, and future opportunities.
Findings
Partnerships intersect at various points in the research and development lifecycle.
Historical and contextual factors influence partnership focus and direction.
Future collaboration opportunities can benefit all stakeholders involved.
Abstract
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…
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