AI Assurance & Decision Support
Methods for determining when automated systems have enough evidence to support a conclusion, when competing explanations remain viable, and when uncertainty or human review should be preserved.
- Evidence sufficiency and provenance
- Identifiability and bounded inference
- Human-in-the-loop disambiguation
- Auditable decision support
