Creating healthy AI without stifling development

the road to safe ai

The development, deployment and reinforcement of AI systems is a long road, which at multiple points allows us to measure, calibrate and augment the health of the AI-powered software.

synthetic intelligence levels

Our Airater framework focuses on eight different “elements” in the production of AI, which we call the “AI Stacks”. With this, it is possible to break down any AI-powered software into 8 stacks covering 67+ dimensions to analyze.

Navigating the fog of ai

Though AI decision-making necessarily involves scenarios of incomplete information, we need quantifiable ways to analyze these unique AI risks. That begins with evaluating mechanisms, phenomenon and situation of risks.