Reimagining AI-driven Workplace Datafication in the Game Industry – REWODAI
Objectives
The project pursues two interrelated objectives:
- Examine how AI-driven workplace datafication reshapes working conditions in the game development industry, with particular attention to creative labor, fairness, and occupational health and safety.
- Explore how AI-driven workplace datafication can help improve working conditions by developing employee centric models, governance principles, and practical recommendations for engaging with workplace data and AI systems.
Data and methods
The project employs qualitative research methods that emphasize collaborative development and practical relevance.
The empirical material consists of qualitative interviews and co-creation workshops, in which participants examine concrete work situations and, together with the researchers, develop new ways of using data and artificial intelligence for improving working conditions.
Results and impact
Drawing on the Nordic region's strong traditions of collaboration, REWODAI aims to position the Nordics to lead globally in setting new standards for healthier, more sustainable and more productive workplaces. The models and approaches developed in the project are applicable to other knowledge and creative work contexts beyond the game industry.
Key outputs include:
- Models and practical recommendations on how AI-driven workplace datafication can improve employee well‑being and professional expertise.
- An open-source pre‑prototype catalog presenting early‑stage concepts for use of workplace data and the related governance practices, offering concrete examples that organizations can learn from and build on.
Our experts
Matti Laukkarinen
Research Team
- Virpi Kalakoski
- Stig Nyman (Lund University)