Laboratory for Trustworthy AI

Artificial Intelligence (AI) presents new opportunities and challenges for our societies. To understand what AI means, we must go beyond innovation to apprehend how to employ decision-making technology in an ethical, mindful, and sustainable way. It is crucial to increase understanding of practices for Trustworthy AI.

Principal investigator

Magnus Westerlund

Principal Lecturer in Information Technology

Phone number: 0294 282 540

Magnus Westerlund

The Laboratory for Trustworthy AI at Arcada University of Applied Sciences is a transdisciplinary and international research community who trains organisations and actors to assess the use of artificial intelligence. The lab connects academia and civil society, including developers of AI solutions, students, end-users, researchers, and stakeholders.

The lab connects academia and civil society, including developers of AI solutions, students, end-users, researchers, and stakeholders.

We work for a human-centric approach to AI and towards closing the gap between ethically sound AI development and the technical and methodological practices. We embrace technical innovativeness and assist organisations in mapping socio-technical scenarios that are used to assess risk. We collaborate closely with international networks such as the Z-Inspection assessment method for Trustworthy AI . The Z-Inspection approach is a validated assessment method that helps organizations to deliver ethically sustainable, evidence based, trustworthy and user-friendly AI driven solutions. The method is published in IEEE Transactions on Technology and Society

How can we help you?

The Laboratory for Trustworthy AI emphasises a curious but mindful use of technology. We are always interested in collaborating with both local and international organisations to develop an ethical use of AI.

  • We provide workshops and continuous learning possibilities for citizens, local and regional private entities, healthcare professionals, engineers and developers who want to learn more concerning the ethical use of AI
  • We perform assessments of Trustworthy AI using the Z-Inspection method. In collaboration with many international and national participants, we assess AI use cases in Finland and beyond.

Do you want to collaborate with the Laboratory for Trustworthy AI? Please do not hesitate to contact us!

Magnus Westerlund

Principal Lecturer in Information Technology

Phone number: 0294 282 540

Magnus Westerlund

Research activities

The research activities of the Lab expounds and develops upon the EU requirements for Trustworthy AI proposed by the EU High-Level Expert Group on Artificial Intelligence.

Use cases in Trustworthy AI

Selected research publications in the areas of:

  • Trustworthy AI
  • Big Data Analytics
  • Data Protection and Privacy
  • Technical robustness and safety
  • Ethics
  • IT Security and Reliability
  • Jonny Karlsson, PhD in Computer Science, Senior Lecturer in Information Technology
  • Leonardo Espinosa Leal , PhD in in Computational Materials Science, Degree Program Director in Big Data Analytics
  • Henrika Franck , Docent, Dr.econ, Dean of the Graduate School and Research at Arcada
  • Elisabeth Hildt, Professor of Philosophy and Director of the Center of the study of Ethics in the Professions, Illinois Institute of Technology
  • Ira Jeglinsky , PhD in Medical Science, Arcada Health Tech Hub
  • Magnus Westerlund , Dr., Director of the Trustworthy AI Laboratory, Associate Professor at Kristiania University Collegue, Principal Lecturer
  • Roberto Zicari , Professor, Z-Inspection Initiative

"Come on kids, let’s play”, says the robot – new Arcada project focuses on child-robot interaction

Already ten years ago Arcada set off its research in AI (artificial intelligence) and pioneered the field with a master's programme in Big Data Analytics. In recent years, Arcada further sharpened its focus in AI research by specifically focusing on ethical issues related to new technologies and on the interaction between humans and robots. So far, dentistry, elderly care, rehabilitation, and preventive health care have benefited from this research – and now the focus is set on child-robot interaction.

Category: Artificial intelligence

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