Amanda investigates how trust can be created for AI systems

Your research focuses on secure and reliable infrastructure that supports AI services – what does that mean? 

I work to make distributed systems more reliable and efficient. It involves anticipating and preventing network failures, detecting security threats, and building trust in AI solutions by ensuring that they are fair and transparent. By combining theory and practical solutions, I hope to contribute to both researchers and industry being able to use AI and distributed systems in a safer and more responsible way. 

You are involved in a research exchange with a university in Germany. What does that collaboration look like? 

The collaboration with Chemnitz Technical University in Germany is part of a five-month collaboration within the ENFIELD project where the focus is to understand and develop trust in distributed AI systems. The first month of the collaboration took place in October, when I was on site at the university and the work resulted in an article presenting a taxonomy for analyzing trust in distributed systems. The remaining months will run from January to April, when I will visit the university again to work with their research group and test the taxonomy in practical applications. 

What does it mean for your research to have the opportunity that the exchange provides? 

I have been given this opportunity through the ENFIELD project, which is an EU-funded initiative within the HORIZON Research and Innovation Programme. My professor Mikael Gidlund and my supervisors Stefan Forsström and Kyi Thar suggested that I should apply, and it has become an important step in my research studies. The exchange gives me the opportunity to deepen my knowledge, collaborate with other researchers and gain insights that strengthen my work. It is very rewarding to be able to test our methods in international collaborations and gain new experiences for future projects. The project is also well in line with my research focus and complements the work I have done so far in a very good way

What is your focus now?

Right now, I am working on completing the article on the taxonomy we have developed and preparing for the next phase of the project. In January, we will start work to test the taxonomy in a practical scenario to meet real-world challenges in distributed AI systems. It feels rewarding to take the work from theory to practice, and I look forward to working with the research group in Chemnitz. The goal is to complete this work in April and at the same time contribute to both research and practical solutions that can help develop more reliable and efficient systems.