Investigating Vulnerabilities in Artificial Intelligence
Explore our independent research services, dedicated to uncovering risks in digital systems and enhancing transparency.
LLM Behavior
Investigating risks from ambiguous language and flawed logic in large language models.
Software Integrity
Advancing transparency and identifying software vulnerabilities through evidence-based investigation.
Decision-Making Signals
Developing public-interest signal platforms to distinguish verified findings from uncertainty.
Investigation Process
This section outlines our methodical approach, helping partners understand how we investigate AI vulnerabilities and advance digital transparency.
Phase One: Evidence Collection
This initial phase focuses on gathering system data and identifying ambiguities in language or software logic to build a solid investigative foundation.
Phase Two: AI-Assisted Analysis
This stage details how we deploy advanced analytical tools to reconstruct digital incidents and thoroughly evaluate software integrity.
Signal Platform Deployment
This final phase demonstrates how our public-interest signal platform transforms raw findings into clear insights to inform better decision-making.
Investigating AI System Vulnerabilities
Join our initiative to advance transparency in digital systems. Discover how our evidence-based investigations help mitigate risks from ambiguous language and software vulnerabilities to inform better decision-making.