List of Publications

Acknowledgement

The list of publications includes scientific papers that are 1) co-authored by researchers in the AIGA project and 2) linked to project AIGA’s core themes.

We wish to acknowledge that many of the publications represent a joint effort between AIGA and other research projects. We are thankful for our great collaborators!

2022

Granlund T., Stirbu V. and Mikkonen T. 2022. Medical Software Needs Calm Compliance. IEEE Software 39:19-28. doi:10.1109/MS.2021.3117292
Link to publication

Kopponen A., Villman T., Kettunen P., Mikkonen T. and Rossi M. 2022. AI Lenses: Citizens’ Guide to the Futures with Citizen Digital Twins. Accepted in book AI and Society: Opportunities and Tensions, CRC Taylor and Francis & co. In press.

Laato S., Birkstedt T., Mikkonen T. and Mäntymäki M. 2022. Introducing AI Governance to the Software Development Life Cycle:  Perspectives from Expert Interviews. Proceedings of CAIN’22, IEEE. In press.
Link to preprint

Malik H. M., Viljanen M., Lepinkäinen N. and Alvesalo-Kuusi A. 2022. Dynamics of Social Harms in an Algorithmic Context. International Journal for Crime, Justice and Social Democracy, 10(4).
Link to publication

Minkkinen M., Zimmer M.P. and Mäntymäki M. 2022. Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame. Information Systems Frontiers.
Link to publication

Minkkinen M., Niukkanen A. and Mäntymäki M. 2022. What about investors? ESG analyses as tools for ethics-based AI auditing. AI & Society.
Link to publication

Muiruri D., Lwakatare L. E.,  Nurminen J. K. and Mikkonen T. 2022. Practices and Infrastructures for ML Systems – An Interview Study in Finnish Organizations. Computer. In press.
Link to preprint

Myllyaho L., Raatikainen M., Männistö T., Nurminen J. K and Mikkonen T. 2022. On misbehaviour and fault tolerance in machine learning systems. Journal of Systems and Software 183:111096.
Link to publication

Mäntymäki M., Minkkinen M., Birkstedt T. and VIljanen M. 2022. Defining organizational AI governance. AI Ethics.
Link to publication

Sarrala T., Duc A., Mikkonen T. and Abrahamsson P. 2022. Towards Systemic Elicitation of Privacy Requirements: A Research Agenda. Proceedings of International Symposium on Business Modeling and Software Design, Springer. In press.

Stirbu V., Raatikainen M., Röntynen J., Sokolov V., Lehtonen T. and Mikkonen T. 2022. Towards multi-concern software development with Everything-as-Code. IEEE Software. In press.
Link to preprint

Viljanen M. and Parviainen H. 2022. AI Applications and Regulation: Mapping the Regulatory Strata. Frontiers in Computer Science 3:779957. doi: 10.3389/fcomp.2021.779957
Link to publication

2021

Granlund T., Stirbu V. and Mikkonen T. 2021. Towards Regulatory-Compliant MLOps: Oravizio’s Journey from a Machine Learning Experiment to a Deployed Certified Medical Product. SN Computer Science 2:342.
Link to publication

Granlund T., Kopponen A., Stirbu V., Myllyaho L. and Mikkonen T. 2021. MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases. WAIN’21 at ICSE’21, IEEE.
Link to publication

Jantunen M., Halme E., Vakkuri V., Kemell K.K., Rousi R., Mikkonen T., Duc N. and Abrahamsson P. 2021. Building a Maturity Model for Developing Ethically Aligned AI Systems.Selected Papers of the IRIS 12:5.
Link to publication

Joutsenlahti J.-P., Lehtonen T., Raatikainen M., Kettunen E. and Mikkonen T. 2021. Challenges and Governance Solutions for Data Science Services based on Open Data and APIs. IEEE/ACM 1st Workshop on AI Engineering – Software Engineering for AI (WAIN), pp. 1-4. doi: 10.1109/WAIN52551.2021.00012
Link to publication

Laato S., Mäntymäki M., Birkstedt T., Islam N. and Hyrynsalmi S. 2021. Digital Transformation of Software Development: Implications for Future Work.  In: Dennehy D., Griva A., Pouloudi N., Dwivedi Y.K., Pappas I. and 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.
Link to publication

Loukiala A., Joutsenlahti JP., Raatikainen M., Mikkonen T. and Lehtonen T. 2021. Migrating from a Centralized Data Warehouse to a Decentralized Data Platform Architecture. In: Ardito L., Jedlitschka A., Morisio M. and Torchiano M. (eds) Product-Focused Software Process Improvement. PROFES 2021. Lecture Notes in Computer Science, vol 13126. Springer, Cham.
Link to publication

Minkkinen M., Zimmer M. and 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. and 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.
Link to publication

Mäkinen S., Skogström H., Laaksonen E. and Mikkonen T. 2021. Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help? WAIN’21 at ICSE’21, IEEE.
Link to publication

Myllyaho L., Raatikainen M., Männistö T., Mikkonen T. and Nurminen J.K. 2021. Systematic literature review of validation methods for AI systems. Journal of Systems and Software 181: 111050.
Link to publication

Seppälä A., Birkstedt T. and Mäntymäki M. 2021. From Ethical Principles to Governed AI. ICIS 2021 Proceedings 10.
Link to publication

Stirbu V. and Mikkonen T. 2021. Introducing Traceability in GitHub for Medical Software Development. In: Ardito L., Jedlitschka A., Morisio M. and Torchiano M. (eds) Product-Focused Software Process Improvement. PROFES 2021. Lecture Notes in Computer Science, vol 13126. Springer, Cham.
Link to publication

Stirbu V., Granlund T., Helen J. and Mikkonen T. 2021. Extending SOUP to ML Models in Certified Medical Systems. SEH’21 at ICSE’21, IEEE.
Link to publication

Tandon A., Dhir A. and Mäntymäki M. 2021. Jealousy due to social media? A systematic literature review and framework of social media-induced jealousy. Internet Research 31:1541-1582. doi: 10.1108/INTR-02-2020-0103.
Link to publication

Vakkuri V., Jantunen M., Halme E.,Kemell K.-K., Nguyen-Duc A., Mikkonen T. and Abrahamsson P. 2021. Time for AI (Ethics) Maturity Model Is Now. Proceedings of the 2021 Workshop on Artificial Intelligence Safety.
Link to publication

Theses

The management of artificial intelligence systems through their lifecycle : a systematic literature review
Jesse Honkonen, University of Turku, Information Systems Science
https://urn.fi/URN:NBN:fi-fe2021092347024

Ethics-based AI auditing core drivers and dimensions: A systematic literature review

Joakim Laine, University of Turku, Information Systems Science
https://urn.fi/URN:NBN:fi-fe2021111154912

Taking the responsible use of AI into account in ESG analyses
Anniina Niukkanen, University of Turku, Information Systems Science
http://urn.fi/URN:NBN:fi-fe2021092947532

ART of AI governance: Pro-ethical conditions driving ethical governance
Anttoni Niemenmaa, University of Turku, Information Systems Science
http://urn.fi/URN:NBN:fi-fe2021082343879

To whom to explain and what? Systematic literature review on empirical studies on Explainable Artificial Intelligence (XAI)
Miika Tiainen, University of Turku, Information Systems Science
http://urn.fi/URN:NBN:fi-fe2021042611894

Implementing Ethical AI: From Principles to AI Governance
Akseli Seppälä, University of Turku, Information Systems Science
http://urn.fi/URN:NBN:fi-fe202104099940

Designing an open-source cloud-native MLOps pipeline
Sasu Mäkinen, University of Helsinki, Data Science
http://urn.fi/URN:NBN:fi:hulib-202103301763

 

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