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#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.
Powering the Future of AI with High School AI Summer Programs
Can robots learn to recognize sign language? Can artificial intelligence be used to generate completely new images? Can we create an AI-powered magic wand that understands how it is being moved? Can computers learn to “see” images?
Role Models in AI: Maynard Holliday
Learn more about his journey into AI and robotics, his passion for providing access to AI education, and his advice for young people who are beginning their career or academic journeys into the field of AI.
Meet the AI4ALL Team: Sarah Judd, Curriculum Manager
I think AI is super cool and fun! Beyond that, I’ve been seeing that when many people hear about AI, they are afraid of things like the Terminator and not algorithmic bias.
