Three-year project on testing of machine learning systems launched

New research aims to develop methods and tools for the creation of safe and reliable AI systems. An interest group for Finnish companies is also planned.

VTT Technical Research Center of Finland and the University of Helsinki are, together with six Finnish companies, starting a three-year research co-operation in the context of the ITEA IVVES  (Industrial-grade Verification and Validation of Evolving Systems). Business Finland supports the project with 1,3 M€ for the University of Helsinki and 1,4 M€ for VTT.

The aim of the project is to develop methods and tools for the creation of safe and reliable AI systems.

“We can now significantly extend our research efforts on testing, continuous development, and maintenance of machine learning systems together with our partners in Finland, The Netherlands, Sweden, and Canada. We are also planning to set up an interest group for Finnish companies interested in the project,” says professor Jukka K. Nurminen from the department of Computer Science at the University of Helsinki.

“Making sure that AI solutions are, and stay, unquestionably reliable in real-life applications, also long after they have been installed, is an important topic that requires efforts - IVVES gives us the means to develop tools to address this properly” adds research professor Mark van Gils from the Data-Driven Solutions research area at VTT.

The University of Helsinki's work in the project is jointly headed by professors Tommi Mikkonen and Jukka K. Nurminen. At VTT, the project is headed by Johan Plomp (the country co-ordinator for the Finnish consortium) and research professor Mark van Gils.

Empirical Software Engineering research group

Artificial Intelligence at VTT

Update on 11 March: We’ve updated this news item by adding information about VTT’s role in this research project and including Mark van Gils’s comment.