artificial intelligence evaluation
Understand the Problem
The question refers to the evaluation of artificial intelligence, which could involve assessing its performance, accuracy, ethical implications, or methods of measurement in various applications.
Answer
AI systems are evaluated on learning, functionality, reliability, accuracy, and impact.
AI systems are evaluated on aspects like learning processes, functionality, reliability, accuracy, risk assessments, and impact. Methods include audits, certifications, validation, and verification.
Answer for screen readers
AI systems are evaluated on aspects like learning processes, functionality, reliability, accuracy, risk assessments, and impact. Methods include audits, certifications, validation, and verification.
More Information
AI evaluation encompasses several dimensions to ensure that AI systems operate as expected and are trustworthy. It goes beyond accuracy metrics to include broader aspects like reliability and risk assessment.
Sources
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