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2020 – today
- 2024
[j9]Matti Minkkinen
, Anniina Niukkanen, Matti Mäntymäki:
What about investors? ESG analyses as tools for ethics-based AI auditing. AI Soc. 39(1): 329-343 (2024)- [j8]Samuli Laato, Matti Minkkinen, Matti Mäntymäki, Denis Dennehy:
Machine Learning System Development in Information Systems Development Praxis. Commun. Assoc. Inf. Syst. 54: 10 (2024) - [j7]Joakim Laine, Matti Minkkinen, Matti Mäntymäki:
Ethics-based AI auditing: A systematic literature review on conceptualizations of ethical principles and knowledge contributions to stakeholders. Inf. Manag. 61(5): 103969 (2024) - [c6]Markus Philipp Zimmer, Matti Minkkinen:
Narrative Approach to Futures: Future-Oriented Perspective to Responsible Digital Transformation. ECIS 2024 - 2023
- [j6]Teemu Birkstedt, Matti Minkkinen, Anushree Tandon, Matti Mäntymäki:
AI governance: themes, knowledge gaps and future agendas. Internet Res. 33(7): 133-167 (2023) - [j5]Matti Minkkinen, Markus Philipp Zimmer, Matti Mäntymäki:
Co-Shaping an Ecosystem for Responsible AI: Five Types of Expectation Work in Response to a Technological Frame. Inf. Syst. Frontiers 25(1): 103-121 (2023) - [c5]Matti Mäntymäki, Matti Minkkinen, Markus Philipp Zimmer, Teemu Birkstedt, Mika Viljanen:
Designing an AI governance framework: From research-based premises to meta-requirements. ECIS 2023 - 2022
- [j4]Matti Mäntymäki, Matti Minkkinen, Teemu Birkstedt, Mika Viljanen:
Defining organizational AI governance. AI Ethics 2(4): 603-609 (2022) - [j3]Matti Minkkinen, Joakim Laine, Matti Mäntymäki:
Continuous Auditing of Artificial Intelligence: a Conceptualization and Assessment of Tools and Frameworks. Digit. Soc. 1(3) (2022) - [j2]Markus Philipp Zimmer, Matti Minkkinen, Matti Mäntymäki:
Responsible Artificial Intelligence Systems Critical considerations for business model design. Scand. J. Inf. Syst. 34(2): 4 (2022) - [c4]Samuli Laato, Teemu Birkstedt, Matti Mäntymäki, Matti Minkkinen, Tommi Mikkonen:
AI governance in the system development life cycle: insights on responsible machine learning engineering. CAIN 2022: 113-123 - [c3]Samuli Laato, Matti Mäntymäki, Matti Minkkinen, Teemu Birkstedt, A. K. M. Najmul Islam, Denis Dennehy:
Integrating Machine Learning with Software Development Lifecycles: Insights from Experts. ECIS 2022 - [c2]Joakim Laine, Markus Philipp Zimmer, Matti Minkkinen, Hannu Salmela, Matti Mäntymäki:
Clustering Design Science Research Based on the Nature of the Designed Artifact. I3E 2022: 254-266 - [i1]Matti Mäntymäki, Matti Minkkinen, Teemu Birkstedt, Mika Viljanen:
Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance. CoRR abs/2206.00335 (2022) - 2021
- [c1]Matti Minkkinen, Markus Philipp Zimmer, Matti Mäntymäki:
Towards Ecosystems for Responsible AI - Expectations on Sociotechnical Systems, Agendas, and Networks in EU Documents. I3E 2021: 220-232
2010 – 2019
- 2019
- [j1]Matti Minkkinen:
Making the future by using the future: A study on influencing privacy protection rules through anticipatory storylines. New Media Soc. 21(4) (2019)
Coauthor Index
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