Validating and Verifying AI Systems.
Where this comes from
- Record sourced from PubMed, PMID 33205105.
- Also identified by DOI 10.1016/j.patter.2020.100037 and PMC identifier 7660449.
- Licence recorded as CC BY-NC-ND.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.