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Scaling Impact with AI: Emerging Patterns in Nonprofit Program Delivery

Scaling Impact with AI documents how 128 nonprofit organizations across the globe are using AI directly in program delivery — distinct from administrative or back-office functions. Drawing ...
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Close-up of a healthcare worker in green scrubs typing on a laptop while a patient holds medical paperwork, illustrating AI-supported program delivery in a frontline service setting.

Equitable AI Adoption Resource Guide: Understanding Equitable AI Adoption in the Social and Education Sectors

The EAIA Resource Guide is organized around the EAIA Framework, which identifies eight topic areas organizations should consider on their AI adoption journey. For each area, it provides a cu ...
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Correlation Is Not Causation. Your AI Doesn’t Know the Difference.

AI tools in the social and education sector promise better outcomes, but most only measure correlation, not causation. Learn why causal AI and evidence infrastructure are essential for nonpr ...
Slide reading ‘Correlation is Not Causation. Your AI Doesn’t Know the Difference.’ Attribution below: Peter York, Chief Data Scientist, with a small headshot on the right.

AI Journey Map for Philanthropy

In 2023, we developed the Responsible AI Adoption Framework for Philanthropy in collaboration with the Technology Association of Grantmakers. Since then, AI has evolved dramatically — and ...
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A chart showing Project Evident's AI Enablement Map, organizing six stages of foundation AI adoption across four phases: Emerging, Engaging Individuals, Enabling Teams, and Ecosystem Building. Each stage includes key milestones and friction points.

Where Does Your Foundation Stand on AI? Introducing the AI Journey Map for Philanthropy

Project Evident announced today the launch of its Equitable AI Adoption Framework, a practical guide designed to help practitioners responsibly integrate artificial intelligence into their p ...
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A chart showing Project Evident's AI Enablement Map, organizing six stages of foundation AI adoption across four phases: Emerging, Engaging Individuals, Enabling Teams, and Ecosystem Building. Each stage includes key milestones and friction points.

New Case Study: Designing AI Tools That Practitioners Actually Use

Project Evident is pleased to share a new case in our Equitable AI Adoption series: “Co-Creating AI Tools That Meet Practitioner Needs: Aurora Public Schools and TalkingPoints Collaboratio ...

Co-Creating AI Tools That Meet Practitioner Needs: Aurora Public Schools and TalkingPoints Collaboration on AI Tool Development

Aurora Public Schools, one of Colorado’s largest and most diverse districts, partnered with TalkingPoints, a nonprofit AI-powered family engagement platform serving millions of students na ...
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Project Evident Launches Equitable AI Adoption Framework to Help Practitioners Turn AI into Real-World Impact

Project Evident announced today the launch of its Equitable AI Adoption Framework, a practical guide designed to help practitioners responsibly integrate artificial intelligence into their p ...

Equitable AI Adoption Framework

Project Evident’s Outcomes AI Equitable AI Adoption Framework helps nonprofit organizations leverage AI while upholding their commitments to equity, safety, and responsibility. This Framew ...

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: Bey ...
Overhead view of two Black teens sitting and looking at one's phone