Reimagine AI
An ethical framework for students and educators
Resources
85% of teachers are concerned about their students using generative AI. While 71% of employers say they'd rather hire a less experienced candidate with AI skills than a more experienced candidate without them. Through over 8 years of research and partnerships with leading AI institutions, we developed a simple framework that captures key concerns around AI ethics.
Ethical AI Principals
Diverse Data
Innovative technologies like 3D printing can make housing more accessible.
Green Transportation
Public transportation that is safe, accessible, and eco-friendly.
Public Spaces
Safe green spaces to connect with nature and each other.
Community Values
Social values rooted in
Free Food
Repurpose rooftops, lawns, and parks to grow free food.
Imagine with Us
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Talk
Inform about the future of cities in an engaging presentation advocating for regenerative cities of the future.
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Workshop
Activate your community in an interactive workshop delving into our toolkit for the future of cities—and use AI to build a city of your own.
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Exhibit
Spark wonder and awe through an immersive installation exhibiting the future of cities at a gallery or museum.
Our curriculum covers
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Just like gas is fuel to a car, AI is fueled on data. Students learn how to collect data and have an eye for ensuring it is diverse and up to date.
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AI reflects the past, which can be both helpful (e.g., in biological studies) and harmful (e.g., biased criminal profiling). Inspire students to think of themselves as “future architects” who will reshape how AI applies historical data.
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Training a single large language model can emit more than 284 tonnes of carbon dioxide equivalent–five times the lifetime emissions of an average American car. The solution lies in using AI with care and intention, designing it with sustainability at its core.
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When most people think of algorithms, they might imagine something like the Terminator—but really, algorithms are math and code. And, as Cathy O’Neil says, they use “data of the past to determine the future,” which holds powerful implications.