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In 2020, AI4ALL Will Offer 14+ AI Summer Programs for Emerging Leaders
Entering into our sixth summer of providing AI summer programs for high school students who are underrepresented in AI, we’re more certain than ever of the importance of preparing our students to change the world — we are not going to be able to live up to the positive potential of AI unless we have a new group of leaders that represent our diverse world.
Role Models in AI: Christine Pierce
Read on to learn more about Christine’s thoughts regarding inclusivity and education in the future of AI, and her data science work at Nielsen.
Changemakers in AI Report on AI Ethics and Societal Impact
AI4ALL Changemakers are uniquely situated to have these discussions, as they are high school and college-age students, the population that will be most impacted by AI development.
#CSEducationWeek: AI4ALL Alumni Stories
This CS Education Week we want to celebrate the impact of AI4ALL alumni on the world. AI4ALL programs and alumni have introduced over 7,750 students to AI & CS education.
Role Models in AI: Carolina Barcenas
Read on to learn more about Carolina’s work and career in fintech, as well as what she thinks we should be aware of as AI technology develops.
AI4ALL, Columbia School of Social Work, Columbia Data Science Institute, and Others Collaborate on Research to Foster a Diverse AI Workforce
Our joint research is designed to identify key factors that contribute to underrepresented groups entering and persisting in the field of AI, with the long-term goal of fostering a diverse AI workforce.
Bring AI4ALL Open Learning into your community and change who can be a leader in AI
AI4ALL Open Learning is a free, project-based AI education program, facilitated by community members, that gives students the tools to solve problems they care about using AI.
Tackling the Concerns of AI: The Problem with our Data
She explains how over the course of the program she got to witness the inadvertent introduction of bias to datasets first-hand, and how meeting other girls like herself made her even more committed to ensuring their representation in the data and in the field.
