Current research projects

RAID - Responsible AI in Interaction Design Practice

Can we trust artificial intelligence (AI) to design the digital services of the future? As AI becomes more powerful and widely adopted, it is beginning to take on tasks traditionally carried out by human designers—especially in the Nordic countries, where design has traditionally been rooted in human needs, values, and social responsibility.

RAID (Responsible AI in Interaction Design Practice) is a Nordic research collaboration that investigates how AI is transforming the way we design digital services—and how we can ensure that this transformation is responsible, ethical, and aligned with the needs of society. The project brings together leading researchers in Human-Computer Interaction and Human-Centred AI from five universities: the University of Bergen (Norway), Aarhus University and the IT University of Copenhagen (Denmark), Gothenburg University (Sweden), and Tampere University (Finland).

AI promises to improve efficiency and productivity, but it also raises important questions. What happens when machines begin to replace human judgment in design? How do we ensure that AI-generated products are usable, inclusive, and fair? What new skills will designers need in the age of AI—and how should we train the next generation?

RAID explores these questions through empirical research, AI tool development, and educational innovation. The project will examine real-world uses of AI in design, build new AI-based design tools with responsible safeguards, and create teaching approaches that help future designers work with AI in thoughtful and ethical ways.

By combining insights across borders and disciplines, RAID contributes to a uniquely Nordic approach to AI in design—one that values transparency, human oversight, and public trust. The project supports the Nordic region’s continued leadership in digital innovation while ensuring that AI-enhanced services remain grounded in democratic values and everyday human experience.

Our software and prototypes

Simple API Server

This repository contains a simplistic example of a Python-based API server and a JS client that can be used by students to study client-server architecture, and for further development of prototypes.

View code

Past projects

Better Video Workflows

The project centered around VizStory, a web-based video-editing tool developed by Vizrt, aimed to explore collaborative video editing and the application of AI techniques in video editing. The research focused on two main goals:

  1. Collaborative Editing: The project investigated how various roles in video production, such as producers, editors, and directors, coordinate and communicate during production. It analyzed the effectiveness of different communication methods, including face-to-face interactions, direct messaging, social media, and email. A key aspect was the use of timecodes for feedback and comments, ensuring precise communication and minimizing misunderstandings.
  2. Use of AI Techniques: The research examined the potential integration of AI within video editing workflows. While AI had been used to automate trivial tasks and enhance video manipulation, its application in video editing programs remained limited. The project explored how video editors could utilize machine learning to improve their editing processes and workflow efficiency.