Responsible AI and AI governance constitute our focal research area. We work on several research projects with a range of partners and stakeholders. AI-governance.eu provides more information about our research in the area.
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.
FEATURED PUBLICATIONS
Laine J., Minkkinen M. & Mäntymäki M. (2025) Understanding the Ethics of Generative AI: Established and New Ethical Principles. Communications of the Association for Information Systems, Vol 56 (1). Doi: https://aisel.aisnet.org/cais/vol56/iss1/7
Laine J., Minkkinen M, & Mäntymäki M. (2024) Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders. Information & Management, Vol 61 (5). Doi: https://doi.org/10.1016/j.im.2024.103969
Minkkinen M., Niukkanen A. & Mäntymäki M. (2024) What about investors? ESG analyses as tools for ethics-based AI auditing. AI & Society, Vol 39. Doi: https://doi.org/10.1007/s00146-022-01415-0
Birkstedt T., Minkkinen M., Tandon A. & Mäntymäki M. (2023) AI Governance: themes, knowledge gaps and future agendas. Internet Research, Vol 33 (7). Doi: https://doi.org/10.1108/INTR-01-2022-0042
Minkkinen M. & Mäntymäki M. (2023) Discerning between the “easy” and “hard” problems of AI governance. IEEE Transactions of Technology and Society, Vol 4 (2). doi: 10.1109/TTS.2023.3267382
Minkkinen M., Zimmer M. & Mäntymäki M. (2023) Co-shaping an ecosystem for responsible AI: five types of expectation work in response to a technological frame. Information Systems Frontiers, Vol. 25. Doi: https://doi.org/10.1007/s10796-022-10269-2
Mustak M., Salminen J., Mäntymäki M., Rahman A. & Dwivedi Y. (2023) Deepfakes: Deceptions, mitigations, and opportunities. Journal of Business Research, Vol 154. Doi: https://doi.org/10.1016/j.jbusres.2022.113368
Laato S., Birkstedt T., Mikkonen T. & Mäntymäki M. (2022) Introducing AI Governance to the Software Development Life Cycle: Insights on Responsible Machine Learning Engineering. In Proceedings of CAIN’22. IEEE. In press. doi: 10.1145/3522664.3528598
Laato S., Tiainen M., Islam A.K.M N.. & Mäntymäki M. (2022) How to explain AI systems to end users: a systematic literature review and research agenda. Internet Research 32: 1-31. doi: 10.1108/INTR-08-2021-0600
Minkkinen M., Laine J. & Mäntymäki M. (2022) Continuous Auditing of Artificial Intelligence: a Conceptualization and Assessment of Tools and Frameworks. Digital Society 1, 21. doi: 10.1007/s44206-022-00022-2
Minkkinen M., Zimmer M.P. & Mäntymäki M. (2022) Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame. Information Systems Frontiers. doi: 10.1007/s10796-022-10269-2
Minkkinen M., Niukkanen A. & Mäntymäki, M. (2022) What about investors? ESG analyses as tools for ethics-based AI auditing. AI & Society. doi: 10.1007/s00146-022-01415-0
Mäntymäki M., Minkkinen M., Birkstedt T. & Viljanen M. (2022) Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance. Arxiv preprint: 10.48550/arXiv.2206.00335
Mäntymäki M., Minkkinen M., Birkstedt T. & VIljanen M. (2022). Defining organizational AI governance. AI Ethics. doi: 10.1007/s43681-022-00143-x
Minkkinen M., Zimmer M. & Mäntymäki M. (2021) Towards Ecosystems for Responsible AI: Expectations on Sociotechnical Systems, Agendas, and Networks in EU Documents. In: Dennehy D., Griva A., Pouloudi N., Dwivedi Y.K., Pappas I. & Mäntymäki M. (eds) Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science, vol 12896. Springer, Cham.
Seppälä A., Birkstedt T., & Mäntymäki M. (2021) From Ethical AI Principles to Governed AI. ICIS 2021 Proceedings.10.