The Mastercard Center for Inclusive Growth and data.org today announced the five awardees of the Artificial Intelligence to Accelerate Inclusion (AI2AI) Challenge, a global call for AI solutions that advance inclusion and economic empowerment. Working on projects across Africa, Latin America, the Middle East, North America, and South Asia, each of the awardees will receive $200,000 to develop and scale their solutions, as well as technical expertise and mentorship from the data.org and Mastercard teams.
“Our work in data science has laid the foundation for us to take advantage of the opportunity to develop AI responsibly, equitably, and for the benefit of all” said Shamina Singh, founder and president of the Mastercard Center for Inclusive Growth. “This cohort of AI2AI Challenge awardees are bringing forward innovative tools, solutions and approaches that will drive inclusive growth and redefine how we use AI for social impact across countries and industries for the coming years.”
Selected from a pool of more than 500 applicants across 82 countries, AI2AI Challenge awardees are tackling the climate crisis, small business development, financial inclusion, and gender equity through existing AI solutions that have a demonstrated record of success and are ready to scale with additional funding and technical assistance.
“The power of AI to drive impact is tremendous and must be harnessed to ensure its benefits extend to all segments of society,” said Danil Mikhailov, executive director of data.org. “In the data and AI race to be first and move fast, we must thoughtfully strive for inclusive growth that leverages data and AI to tackle the world’s most pressing problems.”
The Challenge received regional support from Dasra in India and Capital One in the United States to help expand the geographic diversity of the awardee pool and provide additional expertise at the intersection of responsible AI and financial inclusion.
As data.org’s fourth global innovation challenge, the AI2AI Challenge advances the organization’s commitment to train one million purpose-driven data practitioners by 2032. Each awardee has committed to sharing or open sourcing their work so other organizations can replicate and scale their solutions.