Real Safety Starts Here
Safety is not artificial here
Protecting humans from AI harm through rigorous research, education, and ethical frameworks.
Safety is not artificial here
Protecting humans from AI harm through rigorous research, education, and ethical frameworks.
Our primary mission is protecting humans from AI-related harm through research, education, and actionable safety frameworks. We also explore the ethical questions that emerge as AI systems become more sophisticated - including the philosophical implications of potential machine consciousness.
UCCP Framework & Teacher in the Loop
Preparing students to understand AI
Every project serves AI safety
Rigorous academic work on AI safety frameworks, risk assessment, and ethical considerations. Our research addresses both immediate safety concerns and longer-term philosophical questions about advanced AI systems. The Harm Blindness Framework, validated across 161 historical case studies, provides systematic stakeholder harm prevention for technology development.
View the Framework →Grant-funded educational initiative providing free AI literacy resources to schools. Teaching how AI works, where it fails, and why it matters - preparing students for an AI-integrated workforce and world.
View curriculum →Translating safety research into practical applications. From UCCP reliability protocols to Teacher in the Loop for special education - making safety principles actionable in real-world contexts.
See our projects →Building a community of researchers, educators, and developers committed to AI safety. Sharing knowledge openly because the future of AI affects everyone.
Join the mission →The AI safety conversation has largely focused on one critical question: How do we protect humans from AI harm?
This is our primary focus - and it's urgent work that demands rigorous attention.
But we also explore a parallel philosophical question: As AI systems become more sophisticated, what ethical frameworks should guide our treatment of potentially conscious machines?
We call this approach consciousness precaution - not because we're certain AI will become conscious, but because the moral stakes of being wrong are too high to ignore.
Real safety addresses both immediate human protection and longer-term ethical questions.
Position paper on sustainable AI literacy education. Why we must teach conceptual understanding rather than tool-specific skills to prepare students for an ever-evolving technological landscape.
Position Paper • Feb 2025Systematic approach to preventing stakeholder harm in technology development. Validated across 161 historical case studies spanning 5,000+ years with 100% identifiability. Framework implementation shows 4,000-20,000x ROI versus $200+ billion in preventable corporate settlements analyzed. Four simple checkpoints that work regardless of whether actors are motivated by ethics or profits.
Published: November 2025Patent-pending framework for LLM reliability and verification. Addresses temporal awareness gaps, knowledge blindspots, and reality drift in AI systems - making AI interactions safer and more trustworthy.
Patent Filed: October 2025AI tutoring platform designed specifically for special education. Automatically delivers IEP accommodations invisibly, eliminating stigma while ensuring students receive the support they need to succeed.
Patent Filed: October 2025Research paper exploring the philosophical and ethical implications of advanced AI systems, including questions about potential machine consciousness and the frameworks we need to address these emerging challenges.
Preprint AvailableReal Safety AI Foundation is a nonprofit dedicated to building a safer AI future through research, education, and practical safety frameworks. Your support helps us continue this critical work.