An article titled «On misbehaviour and fault tolerance in machine learning systems,» by doctoral researcher Lalli Myllyaho was named one of the best papers in 2022 by the Journal of Systems and Software.
An article titled «On misbehaviour and fault tolerance in machine learning systems,» by doctoral researcher Lalli Myllyaho was named one of the best papers in 2022 by the Journal of Systems and Software.
«The fundamental idea of the study is that if you put critical systems in the hands of artificial intelligence and algorithms, you should also learn to prepare for their failure,» Myllyaho says.
It may not necessarily be dangerous if a streaming service suggests uninteresting options to users, but such behavior undermines trust in the functionality of the system. However, faults in more critical systems that rely on machine learning can be much more harmful.
«I wanted to investigate how to prepare for, for example, computer vision misidentifying things. For instance, in computed tomography artificial intelligence can identify objects in sections. If errors occur, it raises questions about to what extent computers should be trusted in such matters, and when to ask a human to take a look,» says Myllyaho.
