Department of Digitalization

PhD fellow

Room: HOW/60-5.sal
E-mail: jge.digi@cbs.dk

Julie Gerlings is currently doing a PhD at Copenhagen Business School on the topic of automated decisions and xAI (Explainable artificial Intelligence), where se is analyzing the different approaches to xAI to minimize biases in decisions. Besides her PhD, Julie is a consultant at Carve Consulting, where she is putting her knowledge of machine learning and AI into practice for clients.

Biased machines stem from biased data – if we want to build useful machines (ML-models) to support, or make decisions for us, we need to improve the general understanding of why the ML-model operates as it does.
A great deal of work needs to be put into place for us to evaluate machines on even terms with ourselves, as we tend to want them to be perfect. They are not!
We also need to level up our effort to make the automated decisions explainable for the different stakeholders – instead of making workarounds to avoid the machines.

Danish blog:


Primary research areas
  • Automated decision making
  • Explainable AI (xAI)
  • Human biases and heuristics
Social media
Link to this homepage
Publications sorted by:
Martin Van Den Berg; Ouren Kuiper; Yvette Van Der Haas; Julie Gerlings; Danielle Sent; Stefan Leijnen / A Conceptual Model for Implementing Explainable AI by Design : Results of an Empirical Study.
In: Augmenting Human Intellect: Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence. HHAI 2023. . ed. /Paul Lukowicz; Sven Mayer; Janin Koch; John Shawe-Taylor; Ilaria Tiddi. Amsterdam : IOS Press 2023, p. 60-73 ( Frontiers in Artificial Intelligence and Applications, Vol. 368)
Article in proceedings > peer review
Julie Gerlings; Ioanna Constantiou / Machine Learning in Transaction Monitoring : The Prospect of xAI.
In: Proceedings of the 56th Hawaii International Conference on System Sciences. ed. /Tung X. Bui. Honolulu : Hawaii International Conference on System Sciences (HICSS) 2023, p. 3474-3483 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Article in proceedings > peer review
Julie Gerlings; Millie Søndergaard Jensen; Arisa Shollo / Explainable AI, but Explainable to Whom? : An Exploratory Case Study of xAI in Healthcare.
In: Handbook of Artificial Intelligence in Healthcare: Vol 2 : Practicalities and Prospects. . ed. /Chee-Peng Lim; Yen-Wei Chen ; Ashlesha Vaidya; Charu Mahorkar ; Lakhmi C. Jain. Cham : Springer 2022, p. 169-198 (Intelligent Systems Reference Library, Vol. 212)
Book chapter > peer review
Julie Gerlings; Arisa Shollo; Ioanna Constantiou / Reviewing the Need for Explainable Artificial Intelligence (xAI)
In: Proceedings of the 54th Hawaii International Conference on System SciencesHonolulu : Hawaii International Conference on System Sciences (HICSS) 2021, p. 1284-1293 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Article in proceedings > peer review
Outside activities


  • Consultant in AI/ML at Carve Consulting