Generative AI Skills Grant Challenge

Generative AI Skills Grant Challenge is a grant from Microsoft, in coordination with GitHub and data. org's AI for Good Lab, that funds organizations training and upskilling workers on generative AI to drive social impact. The program targets nonprofits, social enterprises, and research institutions — with a focus on low- and middle-income countries (LMICs) and historically marginalized populations globally.

Awardees receive cohort membership, access to Microsoft events, cloud computing resources, data training, and technical guidance to build and scale their AI skilling programs. Selected from nearly 600 applicants across 93 countries, five organizations were awarded in the inaugural cohort.

Eligible applicants include nonprofits, social enterprises, and research institutions working on workforce AI education in equitable, community-led contexts.

Generative AI Skills Challenge - data. org Strengthening the workforce with generative AI A global grant for organizations training and upskilling individuals on generative AI to drive social impact The Generative AI Skills Challenge issued a call for best-in-class organizations training and upskilling teams on generative AI to drive social impact and advance socioeconomic mobility.

The Challenge sought out fair and community-led integration in low- and middle-income countries and contexts (LMICs), in order to accelerate digital inclusion and skills advancement and acquisition for workers from historically marginalized populations around the world. With support from Microsoft and data. org, the Challenge provides funding and technical assistance to awardees to build and scale their programs.

Generative AI Skills Challenge Impact Report Selected from a pool of nearly 600 applicants across 93 countries, the five awarded projects celebrated in this report represent a variety of locally-driven solutions to train teams with the skills necessary to successfully use generative AI in an equitable and interdisciplinary way.

Meet the Generative AI Skills Challenge Awardees Selected from a pool of nearly 600 applications across 93 countries, the five awardees showcase the incredible breadth and promise of generative AI skilling to drive social impact across sectors, serving workers in healthcare, education, small businesses, and workforce development.

Data Elevates and their partner CDI Chile are launching a generative AI education-to-employment program to unlock financial opportunities and economic potential for Venezuelan migrant women in Chile through a Massive Open Online Course (MOOC) and live employment training and networking.

Global Integrated Education Volunteers Association (GIEVA) The Global Integrated Education Volunteers Association’s (GIEVA) project goal is to bring women entrepreneurs in northern Nigeria into the digital economy. GIEVA will train and upskill women entrepreneurs on the use of generative AI capabilities to create digital livelihoods.

Mississippi AI Collaborative Mississippi AI Collaborative is a multi-stakeholder project—spanning across K-12 public schools, higher education, non-traditional education platforms, and small businesses —to develop an ecosystem of leveraging AI in the state of Mississippi.

The Myna Mahila Foundation is training local women, known as RANI workers, in generative AI to power a text-based AI platform designed to dispel misconceptions about women’s sexual and reproductive health. The Tipping Point aims to empower educators to become agents of change through generative AI skilling.

This project will provide training, curated prompt libraries, and a generative AI-based app for enhanced mentoring to educators in remote settings in Greece. The impact that these innovative projects will have on our global workforce is significant.

Through our shared commitment to educating and empowering industry professionals with the skills to leverage generative AI, we are going to shape the future of data for social impact and its power to transform communities. Skill Development Industry Leaders We gathered prominent industry experts on social sector skill development and the impact of new technologies, such as generative AI, to review Challenge applications.

Meet the judges and reviewers A foundational objective of the Challenge is to ensure that AI responsibly serves the public good. The Challenge Design Philosophy outlines the key considerations used to guide the application design and selection judging processes of the Challenge.

Trust, Truth, and Technology: How Our Generative AI Challenge Awardees Are Leveraging the Power of AI Employers need talent capable of leveraging the latest tools and technology. Workers need the skills and confidence to pursue purpose-driven careers. Social impact organizations need to catch up to private industry to use data and AI for the common good.

Opinion: Innovation challenges yield bold ideas in data and AI Opinion: Women are Essential to Drive Data and AI for Impact Mississippi AI conference is all about Collaboration Jackson State University Students Coach Small Businesses on Using AI How AI Health Care Chatbots Learn from the Questions of an Indian Women’s Organization Grant Helps New Mississippi AI Collaborative Jumpstart Digital Equity Programs Functional and strictly necessary Functional and strictly necessary The technical storage or access that is used exclusively for statistical purposes.

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