Responsible AI

In the Artificial Intelligence Governance and Auditing (AIGA 2020-2022)  project we have researched the legal, ethical and technical dimensions of algorithmic decision-making.

We have worked in close collaboration with the industry to find ways to put responsible AI into practice. The major research outputs include end-user views on algorithmic explainability, state-of-the-art AI governance and commercialization of responsible AI.


Minkkinen, M., Zimmer, M. P., & Mäntymäki, M. (2021). Towards Ecosystems for Responsible AI. In Conference on e-Business, e-Services and e-Society (pp. 220-232). Springer, Cham.

Seppälä, A., Birkstedt, T., & Mäntymäki, M. (2021). From Ethical AI Principles to Governed AI. . ICIS 2021 Proceedings. 10.

Alshahrani, A., Dennehy, D., & Mäntymäki, M. (2021). An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia. Government Information Quarterly, 101617.