Dr Tapani Rinta-Kahila

Lecturer in Business Info Systems

School of Business
Faculty of Business, Economics and Law


Dr Tapani Rinta-Kahila is a Lecturer of Business Information Systems at The University of Queensland Business School. He holds a doctoral degree from Aalto University School of Business, where he wrote an award-winning dissertation on the decommissioning of organisational information systems.

His research focuses on issues around the implementation and management of artificial intelligence (AI) systems in organisations, unintended consequences of technology use, and replacement of organisational information systems (IS). In particular, Tapani strives to understand how contemporary technologies such as AI affect the way in which people learn, work and organise, and how the negative consequences of such technologies can be managed.

Tapani's research has appeared in leading IS journals, including MIS Quarterly, Journal of the Association for Information Systems, European Journal of Information Systems, Journal of Information Technology, Information & Management, and MIS Quarterly Executive, as well as in leading IS conferences, such as ICIS, ECIS, HICSS, and ACIS. His collaboration with the SAP Institute for Digital Government has been recognised with UQ Early-to-Mid-Career Researcher Industry Engagement Award and UQ BEL Faculty Research Engagement and Impact Award.

Research Interests

  • Automation and Erosion of Expertise
    Technologies like AI are becoming increasingly sophisticated, allowing the automation of many types of activities that were previously conducted exclusively by humans. What happens to our skills and abilities when we offload an increasing share of our cognitive functions to technology? What are the individual and organisational implications of becoming more and more dependent on AI? Is the erosion of skills inevitable, or can we find ways to consciously manage it?
  • Organisational AI implementation: challenges and opportunities
    AI technology promises significant benefits to organisations but reaping those benefits is far from simple. How can organisations implement AI responsibly while making most of the technology's benefits? How can they deal with issues related to accountability in algorithmic decision-making, the inscrutability of complex AI models, and potential biases stemming from data and algorithms?

Research Impacts

Tapani's research has informed the professional practice of several industry partners. For instance, his collaboration with the SAP Institute for Digital Government has resulted in four thought-leadership reports co-authored with SAP practitioners. These reports outline approaches to responsible AI implementation in the public sector, and they have been distributed widely in the global SAP organisation and translated into several languages. Further, Tapani has conducted societally important research on the Australian welfare debt recollection scandal known as Robodebt, and his published articles on the topic have garnered attention from the media (ABC Radio, SBS News, Reuters). Through his work, Tapani strives to contribute to creating a more informed and responsible culture around the use and implementation of cutting-edge AI technologies.

Featured articles:

How to avoid algorithmic decision-making mistakes: lessons from the Robodebt debacle

Solving wicked problems: The partnership helping governments harness the power of Artificial Intelligence (AI)


  • Doctor of Philosophy of Science (Advanced), Aalto University


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