Marijn Janssen

Summary

Vast amounts of data are available for use by AI, which requires organizations to gain oversight of the whole process of collecting data to value creation. AI technology and governance are dependent on each other, as governance is about ensuring clear responsibilities and compliance with regulations, and technology is needed to realize this. The first lecture introduces the basics of governance and what is needed. For those interested in more in-depth insight, lecture 2 gives insights into the theories.

Syllabus

Lecture 1: Introducing Data and AI governance

• Opaqueness and complexity of the problem at hand
• AI benefits and disadvantages
• Balancing risks and returns
• Accountability and responsibility
• Need for sound governance
• Overview of governance aspects

Lecture 2: Data and AI governance theories

• Governance elements, policies and procedures
• Governance streams, models and theories
• Data quality attributes and theories
• Governance and trust dependencies
• Organizational data and AI governance
• Governance of complex adaptive systems
• Responsible AI governance
• Interorganizational data and AI governance

References

Almeida, V., Mendes, L. S., & Doneda, D. (2023). On the development of AI governance frameworks. IEEE Internet Computing, 27(1), 70-74.

Gasser, U., & Almeida, V. A. (2017). A layered model for AI governance. IEEE Internet Computing, 21(6), 58-62.

Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. (2020). Data governance: Organizing data for trustworthy Artificial Intelligence. Government Information Quarterly, 37(3), 101493.

Janssen, M. (2025). Responsible governance of generative AI: conceptualizing GenAI as complex adaptive systems. Policy and Society, puae040.

Pre-requisites

Basic understanding of AI, insight into organizational aspects.

Short bio

Prof.dr. Marijn Janssen is a Full Professor in ICT & Governance in the Technology, Policy and Management Faculty of Delft University of Technology, head of the Engineering Systems & Services (ESS) department, and (honorary) visiting professor at Bradford University, KU Leuven and Universiti Teknologi Mara. Marijn Janssen’s research is in the field of the governance of Smart and Open Digital Government, Open data and emerging technologies, like AI, Quantum computing and blockchain, which fundamentally change the organizational landscape and influence the governance. He is particularly interested in situations in which multiple public and private organizations want to collaborate, in which ICT plays an enabling role, socio-technical solutions are constrained by organizational realities and political wishes, and there are various ways to proceed. Marijn is a founding board member of Digicampus – a quadruple helix innovation partnership – in which government, cities, businesses, science, and citizens work together to innovate public services. This is done through collaborative research, agenda-setting, round-table discussions, market consultation, and experimentation. He was ranked as one of the leading e-government researchers in surveys in 2009, 2014, and 2016. He was nominated in 2018 and 2019 by Apolitical as one of the 100 most influential people in the Digital Government worldwide: https://apolitical.co/lists/digital-government-world100. He has co-authored more than 600 papers and is cited more than 50,000 times according to Google Scholar. More information: https://www.tudelft.nl/staff/m.f.w.h.a.janssen/.