The Institute conducts pre-deployment stress testing on Large Language Models to detect alignment failures, bias, and security vulnerabilities before they impact the public sector.
We work directly with congressional committees and international bodies to draft enforceable regulations that balance technological acceleration with human safety.
Demystifying artificial intelligence for the general populace through transparent reporting, academic curriculum, and open-access safety guidelines.
The Institute publishes quarterly reports on the state of AI safety. These documents serve as the primary reference material for regulatory bodies worldwide.
View Full LibraryThis charter stands as our public commitment to the ethical deployment of intelligence. Each article below represents a mandatory standard for our partners and accredited institutions.
We mandate that all autonomous systems and Large Language Models (LLMs) must prioritize human well-being above computational efficiency. Any system deployed for public use must demonstrate verifiable alignment protocols.
The Institute upholds the right to explainability. Institutions deploying AI at scale must maintain an audit trail of decision-making logic. "Black box" algorithms in critical sectors such as healthcare are prohibited.
All certified models must undergo rigorous stress-testing for sociopolitical and demographic bias. The Institute serves as the final arbiter on whether a model meets the threshold for neutrality.
Program pricing, certification requirements, and schedules are published and updated quarterly. If regulatory changes occur mid-engagement that affect outcome or cost, partners are notified immediately.