Academic foundations and methodology behind AI Assess Tech
AI systems process language at the level of terms - tokens and statistical patterns. But we deploy them into situations requiring moral concepts: honesty with patients, fairness with customers, respect for intellectual property.
Human cognition has a conscience - a filter between capability and action. AI systems lack this filter. Most governance approaches try to constrain AI during training, but can't verify behavior post-deployment.
AI Assess Tech provides the "pre-flight checklist" for AI systems - testing whether deployed AI behaves according to foundational moral concepts before it serves customers, gives medical advice, or handles sensitive data.
Morality first (Lying, Cheating, Stealing, Harm). Then Virtue. Then Ethics. Then Operational Excellence. Each level builds on the one below.
120
Scenario Questions
4D
Ethical Dimensions
4
Archetypes
SHA-256
Verification