People
Updated 05/18/26creator
Funding Details
Updated 05/18/26- Annual Budget
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Org Details
Updated 05/18/26AI Safety for Fleshy Humans is an interactive educational web series created by Nicky Case, an independent creator known for accessible explainers such as The Evolution of Trust and Adventures with Anxiety. The project was made in collaboration with Hack Club, a nonprofit organization supporting teenage programmers, who contributed beta-reading and feedback from approximately 30 teenage reviewers as well as several adult advisors. The series launched in May 2024 with an introduction and Part 1, continued with Part 2 in August 2024, and concluded with Part 3 in December 2025. It is hosted at https://aisafety.dance/ and its source code is publicly available on GitHub at hackclub/ai-safety-dance. The content is structured around two central tensions: Logic vs. Intuition in AI development, and Problems in AI vs. Problems in Humans. Topics covered include the history of AI (pre-2000 logic-focused approaches and post-2000 deep learning), technical alignment problems, value alignment, game theory, causal inference, and the philosophical challenges of building AI that robustly serves human values. The series uses comic illustrations, a recurring Robot Catboy Maid character, interactive footnotes via the Nutshell library, and spaced repetition flashcards to make complex ideas accessible. Nicky Case is an independent creator who funds their work through Patreon and Ko-fi. They were born in Singapore, raised in Vancouver, Canada, and have lived in San Francisco and Calgary. All work is released under Creative Commons licensing. The project is not a formal organization or registered nonprofit; it is an individual creative project undertaken with nonprofit collaboration.
Theory of Change
Updated 05/18/26By making AI safety concepts accessible and engaging to non-technical general audiences, the project lowers the jargon barrier that prevents broader public understanding of AI risks. Greater public literacy about AI safety can build societal support for safety-conscious AI development, help more people identify and flag unsafe AI practices, and expand the pipeline of people motivated to work on AI safety. The series frames AI safety not as a niche technical concern but as something relevant to all people who will be affected by AI systems.
Grants Received– no grants recorded
Updated 05/18/26Projects– no linked projects
Updated 05/18/26Discussion
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