# AI4Good Foundation: Full Reference ## Organization - Legal name: US AI4Good Inc - Tax status: 501(c)(3) tax-exempt (EIN 93-4463264) - Year founded: 2024 - Headquarters: New York, NY, USA - Website: https://thefoundationai.org - LinkedIn: https://www.linkedin.com/company/ai4good-foundation/ - General contact: contact@thefoundationai.org - Grants: grants@thefoundationai.org - Partnerships: contact@thefoundationai.org ## Mission AI4Good Foundation is a US-based nonprofit that translates open-source AI research into accessible, free programs that help underrepresented learners and workers navigate education and employment in a rapidly changing labor market. Our work sits at the intersection of three communities that rarely meet: AI researchers, workforce development practitioners, and the learners they serve. In one line: open-source AI for education and employment equity. ## Principles 1. Open weights, open source, open data. We build on open-weight foundation models from the open AI research community and publish our code, prompts, and evaluation data under permissive licenses. Workforce programs cannot adopt tools they are locked out of. 2. Distribute through institutions. We do not target learners directly. We embed our tools inside the trusted institutions learners already use: community colleges, workforce boards, libraries, refugee resettlement agencies, and Title I schools. 3. Measure outcomes, not engagement. Our north-star metrics are credential completion, job placement, and wage gain, not session counts or chat-message volume. Every pilot includes an independent third-party evaluation plan from day one. 4. Privacy by default. On-device or in-region inference where feasible. No selling, sharing, or training on learner data. Plain-language consent in the learner's first language. ## Focus outcomes - Faster credential-to-job pathways. Reduce the time from a learner deciding on a goal to landing a relevant first job or credential by 30% across pilot cohorts. - AI literacy for educators. Equip 500 instructors at Title I and minority-serving institutions with a working, ethical AI practice within 24 months. - Open infrastructure. Every tool we ship is open source under permissive licenses, so any workforce program can adopt it without per-seat fees. ## Programs ### 1. Career Navigator - URL: https://thefoundationai.org/programs#career-copilot - Headline: An open-source, multilingual career navigation copilot for adult learners. - Description: A Llama-based assistant deployed inside community college advising offices, workforce boards, and immigrant-serving CBOs. It translates a learner's existing skills, prior credentials, and language into a clear set of next steps: realistic local job openings, the skills gap to close them, and the shortest credential path to bridge it. - Audience: Adult learners at community colleges, American Job Centers, and refugee resettlement agencies. - Technology: Open-weight foundation models, retrieval over public labor-market data (BLS, O*NET, public job postings), and on-device or low-cost cloud inference so partners with limited IT budgets can run it. - Status: Design phase. Launching first pilot Q4 2026 with two partner institutions. ### 2. Skills Translator - URL: https://thefoundationai.org/programs#skills-translator - Headline: A free tool that turns a resume in any language into a US-employer-readable skills profile. - Description: For internationally trained professionals, refugees, and adult learners returning to the workforce. We ingest a resume, transcript, or oral history in the learner's first language and produce a US-standard skills profile aligned to the Department of Labor's O*NET and SOC taxonomies, plus a personalized list of credential-recognition pathways. - Audience: Immigrants and refugees with international credentials; adult learners returning after caregiving; veterans translating MOS codes to civilian work. - Technology: Open-weight multilingual foundation models for translation and skill extraction; published government taxonomies for the target schema. Outputs are open data, reusable by any workforce program. - Status: Research brief in development. Open call for institutional pilot partners. ### 3. Educator AI Toolkit - URL: https://thefoundationai.org/programs#educator-toolkit - Headline: Curriculum and classroom-ready prompts that help instructors at Title I schools and minority-serving institutions teach with, not around, AI. - Description: A free, openly licensed (CC-BY) curriculum bundle for instructors at Title I high schools, community colleges, and minority-serving institutions. Includes a lesson library, model-agnostic prompt patterns built on Llama and other open models, and a teacher fellowship community of practice. - Audience: Instructors and instructional designers at Title I high schools, community colleges, HBCUs, HSIs, and TCUs. - Technology: Reference implementations on open-weight foundation models in the 7B to 70B parameter range so districts without enterprise budgets can run pilots locally. - Status: First curriculum module in drafting. Seeking 10 founding teacher fellows for 2026 cohort. ## What we look for in a funder partnership We are funder-agnostic on brand and rigorous on fit. The partnerships that work best for AI4Good share a few traits: open-source aligned (public goods, permissive licenses, field-wide reuse over single-vendor lock-in); education and workforce focus (community colleges, adult learners, workforce development, AI literacy for underrepresented communities); multi-year general operating support welcome; in-kind compute and data partnerships welcome (cloud credits, GPU hours, model-hosting credits, data-access agreements with appropriate gift acknowledgment). ## Research data backbone AI4Good operates on top of a research-grade view of the US labor market through an in-kind data-access agreement with Canaria, a US labor-market data organization. This is an institution-to-institution partnership; no individuals are named, no fees change hands, and no learner data flows back to Canaria. The dataset covers: - 1 billion+ job postings ingested, 900 million+ unique postings after semantic deduplication - 82 enriched fields per record: occupation, salary, skills, seniority, work mode, dedup graph - 37,000+ skills taxonomy, 3,000+ certifications, 400+ soft skills - Standard Occupational Classification (SOC) labeling using title plus full job-description context - AI-predicted salary trained on 50 million+ employee-reported observations - US coverage, 2022 to present, refreshed daily This corpus underpins our Career Navigator retrieval layer, our Skills Translator evaluation set, and the labor-market analyses in our public research briefs. ## Data and research partners We disclose only institutional partnerships with a signed agreement. No individual attribution. ### Canaria - Role: Labor-market data partner (in-kind) - URL: https://www.decanaria.com - Summary: Canaria provides AI4Good with in-kind access to its research-grade deduplicated job-postings corpus and enriched occupation, skills, and salary signals. This data underpins our Career Navigator retrieval layer and our Skills Translator evaluation set. ## Blog posts ### Welcome to AI4Good Foundation - URL: https://thefoundationai.org/blog/welcome-to-ai4good-foundation - Published: 2026-04-15 - Tags: Announcement - Summary: We are a US-based nonprofit launching three open-source AI programs for the institutions that serve underrepresented learners. Here is what we are building, why now, and how to join the first pilot cohort. ### Why open-weight models matter for workforce equity - URL: https://thefoundationai.org/blog/why-open-weight-models-matter-for-workforce-equity - Published: 2026-04-28 - Tags: Open-Source-AI, Equity - Summary: Per-seat enterprise AI pricing locks out community colleges, workforce boards, and community-based organizations. Open-weight foundation models change the math. Here is the technical case for building public-interest AI on community open-weight models. ### AI4Good announces a research data partnership with Canaria - URL: https://thefoundationai.org/blog/data-partnership-with-canaria - Published: 2026-05-10 - Tags: Partnerships, Research-Infrastructure - Summary: Canaria is contributing in-kind access to its research-grade deduplicated job-postings corpus to power our Career Navigator retrieval layer, our Skills Translator evaluation set, and our public research briefs. An institution-to-institution collaboration. ### Open call: pilot partners for Fall 2026 - URL: https://thefoundationai.org/blog/recruiting-pilot-partners-for-fall-2026 - Published: 2026-05-18 - Tags: Pilot, Partnerships - Summary: Community colleges, workforce boards, refugee resettlement agencies, Title I schools, and minority-serving institutions are invited to apply for a free six-month pilot of one of our three programs. Third-party evaluation is included. ## How to engage - Pilot a program: institutions can apply via https://thefoundationai.org/partners or email contact@thefoundationai.org. - Fund our work: program officers and individual donors can review https://thefoundationai.org/grants or email grants@thefoundationai.org. - Read our research: https://thefoundationai.org/research and https://thefoundationai.org/blog. - General inquiries: contact@thefoundationai.org.