Litcius/Paper detail

Validating and Verifying AI Systems

David J. Hand, Shakeel Khan

2020Patterns29 citationsDOIOpen Access PDF

Abstract

AI systems will only fulfill their promise for society if they can be relied upon. This means that the role and task of the system must be properly formulated; that the system must be bug free, be based on properly representative data, and can cope with anomalies and data quality issues; and that its output is sufficiently accurate for the task. AI systems will only fulfill their promise for society if they can be relied upon. This means that the role and task of the system must be properly formulated; that the system must be bug free, be based on properly representative data, and can cope with anomalies and data quality issues; and that its output is sufficiently accurate for the task.

Topics & Concepts

Computer scienceAdversarial Robustness in Machine LearningFormal Methods in VerificationFault Detection and Control Systems
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