Quality & Testing of Artificial Intelligence
Sander Mol/Peter Collewijn/Hannie van Kooten
TestNet
This eBook is a guide to the world of AI testing and implementation. The authors will bring you on a journey to explore the AI test process to help you shape the process with clear, expert advice that you will find provided in this eBook. Learn how to to stimulate further developments in AI quality and testing including the long-term development of best practices and the development of new methods of testing.
Across eight chapters this eBook will explore algorithms, Machine Learning, autonomous AI, ethics for AI, non-fictional aspects of Machine Learning, AI testing and AI testing in practice.
Explore the risks of Machine Learning, the rise of AI and the risks that came with this. Find out how AI came about and the issues associated with the first AI. Learning and understanding ethics in testing is important, regarding regulations and aspects such as privacy, and transparency. This eBook will explore all those.
The non-functional aspects of a Machine Learning application chapter includes the ISO 25010 standard for software product quality as well as several initiatives to add new features and attributes specifically for ML supported software. This eBook will explore how to achieve high-quality AI and which tools can be used for this. Methods such as A/B testing are explored as well as lesser-known methods such as Metamorphic testing. In the final part of the eBook, we will explore testing in practice discussing the roles there are within an AI project and who takes responsibility for the quality. Learn about the necessary skills and knowledge areas for testers who want to develop further in the world of AI.
Key Takeaways
- Learn the risks associated with AI implementation
- Discover how to achieve high quality AI
- Explore the tools and methods for AI testing and how to apply them
Check out other test management related resources in EuroSTAR Huddle.
About Me!
This eBook was written as part of the TestNet working group on Testing and AI in cooperation with other members.
Sander Mol
Since 2005 Sander has performed test management assignments at several banks and insurance companies via Capgemini. In 2012 he joined the Unirobe Meeùs Groep in the permanent position of overall test manager; a really versatile job that covered all aspects of the testing profession. In 2017 he was ready to explore a new branch and shifted his attention to health care, starting at Erasmus MC (via Salves) implementing HiX.
Peter Collewijn
Peter is an IT consultant with a wide range of interests and capabilities. He has worked in several industries in several roles. Most often in the world of ERP Systems.
He has a keen understanding of the business part, the functional part and the technical part of a software project and has a several ISTQB advanced certificates.
For the last two years Peter is focusing on a new upcoming market: Testing AI systems. Also, for this market he wants to understand the functional and the technical part and has trained himself in Python, TensorFlow and AI related tests and test processes.
Hannie Van Kooten
Hannie has worked as a test specialist, manager and security officer. Interested in innovation. Member of Workgroup testing and ai.