Abstracts

Everyone is talking about artificial intelligence. There are new departments in colleges and universities, new standards are born, developers and data scientists invent new algorithms.
Everything should be more efficient, faster, and better. Socio-technical systems determine more and more aspects in our daily life. Many people are feeling left behind these new methodics and technics.

• How can we keep track of everything? How do we help to ensure that AI is used the right way?
• How do we arrange it so, that AI-based systems are deployed responsible in our society? In short, how can we test this?
• We want to take a closer look at some serious challenges and some reasons why AI projects failed.
• We will answer these and other questions using our experience from our AI projects in industry and research.

Agenda

• What is AI – what is possible, what is impossible for Quality engineers
• AI-based systems and its challenges
• Ideas to master these challenges

After this talk you will have an idea how to test AI-based systems. You will also hopefully be able to skip the stumbling blocks that we really stepped into. And finally, you will gain some courage on your way to master the quality of AI-based systems.

Audience
AI-beginner, tester, test manager, developers with testing background, project head, scrum master, product owner