Test and Evaluation, Verification and Validation (TEVV)
What It Means
TEVV is a comprehensive quality assurance process that proves your AI system works as intended and is safe for real-world use. It involves systematic testing to verify the system meets technical specifications, validates it solves the actual business problem, and evaluates its performance under various conditions.
Why Chief AI Officers Care
TEVV is essential for regulatory compliance, especially in regulated industries like healthcare and finance where AI failures can result in significant legal liability. It provides documented evidence that your AI system is reliable and safe, which is crucial for board reporting, audits, and maintaining customer trust when AI decisions impact business outcomes.
Real-World Example
A bank implementing an AI loan approval system must conduct TEVV to verify the algorithm correctly processes credit scores and income data (verification), validate it actually improves loan decision accuracy compared to manual processes (validation), and test it across different demographic groups to ensure fair lending compliance before deployment.
Common Confusion
People often think TEVV is just standard software testing, but it's much more comprehensive for AI systems, requiring evaluation of model performance, bias detection, and real-world operational conditions that don't apply to traditional software.
Industry-Specific Applications
See how this term applies to healthcare, finance, manufacturing, government, tech, and insurance.
Healthcare: In healthcare AI, TEVV ensures clinical decision support systems, diagnostic algorithms, and predictive models meet FDA ...
Finance: In finance, TEVV is critical for AI systems handling trading algorithms, credit decisioning, and risk management models,...
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Includes:
- 6 industry-specific applications
- Relevant regulations by sector
- Real compliance scenarios
- Implementation guidance
Technical Definitions
NISTNational Institute of Standards and Technology
"A framework for assessing, incorporating methods and metrics to determine that a technology or system satisfactorily meets its design specifications and requirements, and that it is sufficient for its intended use."Source: NSCAI_Report
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