ANNOUNCEMENT
New Case Study: How Beyond 12 Uses Data to Drive Equitable AI Outcomes
A Data-First Approach to Equitable AI in Postsecondary Success
We’re pleased to release the latest case study in our Equitable AI Adoption series: Using Data to Drive Outcomes with AI: Beyond 12’s Data-Driven Approach to Using AI for Impact. This case features Beyond 12, an education nonprofit working to ensure that all students, especially first-generation students, have the support they need not only to persist through college.
From building a robust data integration engine to deploying predictive models and a generative AI-powered coach, Beyond 12 offers a compelling example of how data can power more ethical, actionable, and impactful AI adoption.
You’ll learn:
- Why a strong data foundation is the bedrock of successful AI implementation
- How Beyond 12 built MyCoach, a generative AI tool that meets students where they are
- How predictive models are used to power program improvement, not just individual intervention
- What safety and evaluation infrastructure makes AI tools trustworthy and effective
This case joins a growing library of resources designed to help social impact leaders adopt AI with purpose, equity, and impact at the center.
Project Evident’s Equitable AI Adoption series is supported by the Gates Foundation and designed to equip social sector leaders with tools, insights, and a peer learning community to responsibly and effectively adopt AI to advance their missions.