Challenge
Sometimes, companies or administrations are not necessarily able to monitor and evaluate the technical implementation of an AI application themselves. Are the right algorithms being used? Are they reusable? Is it ensured that lessons learned from development are documented?
Solution
- Controlling to achieve goals in the project
- Checking the usefulness and sustainability of the AI algorithms used
- Lessons learned from data handling
- Quality control in the method
- Risk analysis
- Audits of the “Reliable AI” testing method
Benefit
Ensure sure that your AI project is successfully implemented. Learn from past mistakes and use algorithms and procedures for future projects.
