jgedigi
Department of Digitalization
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:
https://www.carve.dk/2019/11/28/hvorfor_er_det_saa_svaert_med_det_der_ai/
- Automated decision making
- Explainable AI (xAI)
- Human biases and heuristics
- Anti-Money Laundering (AML), Counter-Terrorist Financing (CTF) and Fraud
- Transaction Monitoring
In: European Journal on Criminal Policy and Research, 11.3.2024
In: Artificial Intelligence: ECAI 2023 International Workshops. ECAI 2023. Proceedings, Part II. . ed. /Sławomir Nowaczyk; Przemysław Biecek; Neo Christopher Chung; Mauro Vallati; Paweł Skruch; Joanna Jaworek-Korjakowska; Simon Parkinson; Alexandros Nikitas; Martin Atzmüller; Tomáš Kliegr; Ute Schmid; Szymon Bobek; Nada Lavrac; Marieke Peeters; Roland van Dierendonck; Saskia Robben; Eunika Mercier-Laurent; Gülgün Kayakutlu; Mieczyslaw Lech Owoc; Karl Mason; Abdul Wahid; Pierangela Bruno; Francesco Calimeri; Francesco Cauteruccio; Giorgio Terracina; Diedrich Wolter; Jochen L. Leidner; Michael Kohlhase; Vania Dimitrova. Cham : Springer 2024, p. 106–114 (Communications in Computer and Information Science, Vol. 1948)
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)
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)
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)
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)
In: Effektivitet, No. 2, 2019, p. 37-39
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2019-2024:
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Consultant in AI/ML at Carve Consulting