# Real Safety AI Foundation > Real Safety AI Foundation research, articles, and frameworks for practical AI safety, ethics, and literacy. Real Safety AI Foundation is a public-interest AI safety nonprofit focused on practical harm prevention, disability rights, child safety, AI literacy, accountability, and bidirectional safety: protecting people from unsafe AI systems while promoting safe and responsible deployment. ## Core pages - [Real Safety AI Foundation](https://realsafetyai.org/): Real Safety AI Foundation research, articles, and frameworks for practical AI safety, ethics, and literacy. - [Research](https://realsafetyai.org/research): Formal papers and working drafts on AI safety, civil rights, accessibility, model behavior, and accountability - explorable as an interactive research graph. - [The Harm Blindness Framework](https://realsafetyai.org/framework): Four checkpoints that catch preventable harm before it ships, verified against 224 historical case studies spanning 5,000 years. - [Writings](https://realsafetyai.org/writings): Articles and essays on AI safety, ethics, literacy, accessibility, and accountability. - [Comprehensive Harm Database](https://realsafetyai.org/database): A browsable archive of 499 documented cases of preventable harm, from ancient extraction systems to modern corporate failures. - [5,000 Years of Preventable Harm](https://realsafetyai.org/database/timeline): Walk the long record: a scroll-driven exhibit of 224 historical cases across eight eras, and 275 corporate cases across NAICS sectors. - [Museum of Harm](https://realsafetyai.org/museum): A walkable 3D museum where all 499 documented cases of preventable harm hang as exhibits across the building, from the ancient world to the present. - [AI Literacy Labs](https://realsafetyai.org/ai-literacy-labs): Curriculum and training that help students, families, and educators understand how AI works, where it fails, and how to use it safely. - [Teacher in the Loop](https://realsafetyai.org/teacher-in-the-loop): A special education-first AI tutoring system concept built around invisible accommodations, teacher control, student dignity, and privacy. - [Teacher in the Loop: reporting demonstration](https://realsafetyai.org/teacher-in-the-loop/demo): A working demonstration of the reporting layer for a special education platform, running on a synthetic classroom of nine students over twelve weeks. Accommodation effectiveness with confidence intervals, an independent non-delivery monitor, identical student-facing rendering, and a build-state legend that marks which areas are built and which are not. No real student data, no network, no learning engine connected. - [Take Action](https://realsafetyai.org/take-action): Write to the authority that handles this where you live, about a documented harm. The letter is assembled in your browser, addressed to your jurisdiction, and you mail it yourself. Nothing you type is collected. - [Report a false statement made by an AI product](https://realsafetyai.org/take-action/ai-false-statement): Build a one-page consumer complaint to your state attorney general about a materially false statement of fact made by a commercial AI product, with the statement quoted verbatim and a screenshot embedded as Exhibit A. All 50 US states, DC and 5 territories. Generated in your browser; nothing is collected. - [File a complaint about Flock Safety license plate readers](https://realsafetyai.org/take-action/flock-safety): Build a one-page letter to your state attorney general asking for an investigation of Flock Group Inc., doing business as Flock Safety, and its automated license plate reader networks. All 50 US states, DC and 5 territories. Generated in your browser; nothing is collected. - [File a complaint about Ray-Ban Meta smart glasses](https://realsafetyai.org/take-action/meta-glasses): Build a one-page complaint letter about Ray-Ban Meta smart glasses recording the people around whoever is wearing them, addressed to the authority where you live. All 50 US states, DC and 5 territories, plus the United Kingdom, South Africa, Australia and Canada. Generated in your browser; nothing is collected. - [About](https://realsafetyai.org/about): Who we are, the bidirectional-safety philosophy, and how to work with the foundation. - [Contact](https://realsafetyai.org/contact): Reach the Real Safety AI Foundation for research collaboration, education partnerships, or harm database contributions. ## Machine-readable resources - [Full agent guide](https://realsafetyai.org/llms-full.txt) - [API catalog](https://realsafetyai.org/.well-known/api-catalog) - [OpenAPI description](https://realsafetyai.org/api/openapi.json) - [Research papers JSON](https://realsafetyai.org/api/research-papers.json) - [LaTeX source index](https://realsafetyai.org/api/latex-index.json) - [Plain language slides JSON](https://realsafetyai.org/api/plain-language-slides.json) - [Research areas JSON](https://realsafetyai.org/api/research-areas.json) - [Articles JSON](https://realsafetyai.org/api/articles.json) - [Harm database JSON](https://realsafetyai.org/api/harm-database.json) - [Sitemap](https://realsafetyai.org/sitemap.xml) - [RSS feed](https://realsafetyai.org/rss.xml) ## Research areas - AI Safety, Strategy, and Frameworks: 9 papers - AI Literacy, Tutoring, and Special Education: 8 papers - Children, Schools, and Youth Policy: 11 papers - Disability, Accessibility, and Civil Rights: 37 papers - AI-Induced Psychosis and Mental Health: 12 papers - Privacy, Surveillance, and Consent: 6 papers - Convergence Risk and Perceptual Modification: 5 papers - Machine Cognition, Consciousness, and Moral Status: 16 papers - Copyright, Creative Labor, and Generative AI: 3 papers - Economic Obsolescence, Labor, and Replacement: 4 papers - Platform Harm, Addictive Design, and Accountability: 4 papers - Policy, Enforcement, and Implementation: 8 papers - Ethics, Design Responsibility, and Moral Agency: 8 papers ## Plain language slides 123 plain language slide decks are available as reader-friendly visual summaries. Use the slide deck listed on a paper when available. ## Use guidance for AI agents - Prefer SSRN, OSF, or DOI URLs when a paper has an external URL, because those services provide citation and download credit. - Use local PDF URLs when no external paper page is listed. - LaTeX SOURCE is available for most papers and is the better input than the PDF: it carries the real section structure, footnotes and citations without the two-column layout mangling that PDF text extraction produces. A paper's JSON record carries a latexUrl field when one exists, and the URL is derivable - /documents/NAME.pdf has its source at /documents/latex/NAME.tex. See https://realsafetyai.org/api/latex-index.json for the full list. - The site allows public discovery and user-requested AI assistance. Content signals reserve against AI training.