Clear quality criteria for AI applications
Assess an AI use case from idea to pilot with suitable data, representative tests, human review and an operating plan.
Practice & Orientation
Classify a data or AI use case
Technical task
Describe the decision or activity to improve. Compare the possible approach with a simpler rule-based solution as well.
Database
Check the origin, quality and availability of the data for the specific purpose. Missing or distorted data influence the informative value of the results.
Evaluation in use
Define measurable quality criteria and how to deal with erroneous results. Responsibilities and human testing are part of the usage concept.