Papers
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. (2018). Robot vs. tax inspector or how the fourth industrial revolution will change the tax system: a review of problems and solutions. Journal Of Tax Reform, 4(1), 6 - 26. https://doi.org/10.15826/jtr.2018.4.1.042
. (2018). Robotic process automation. Business & Information Systems Engineering, 60(4), 269 - 272. https://doi.org/10.1007/s12599-018-0542-4
. (2018). Robotic Process Automation for Auditing. Journal Of Emerging Technologies In Accounting, 15(1), 1 - 10. https://doi.org/10.2308/jeta-10589
. (2018). Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms. Research Policy, 47(9), 1762 - 1776. https://doi.org/10.1016/j.respol.2018.06.008
. (2018). Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms. Research Policy, 47(9), 1762 - 1776. https://doi.org/10.1016/j.respol.2018.06.008
. (2018). Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms. Research Policy, 47(9), 1762 - 1776. https://doi.org/10.1016/j.respol.2018.06.008
. (2018). Towards a Sociological Conception of Artificial Intelligence. In Artificial General Intelligence (AGI). Presented at the Artificial General Intelligence (AGI). https://doi.org/10.1007/978-3-319-97676-1_13
. (2019). Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. European Journal Of Cancer, 111, 30 - 37. https://doi.org/10.1016/j.ejca.2018.12.016
. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019). Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. European Journal Of Cancer, 113, 47 - 54. https://doi.org/10.1016/j.ejca.2019.04.001
. (2019). How May I Help You? – State of the Art and Open Research Questions for Chatbots at the Digital Workplace (). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.013
. (2019). Inferring work task automatability from AI expert evidence (). In the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 (485 - 491). https://doi.org/10.1145/330661810.1145/3306618.3314247
. (2019). A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic. Jco Clinical Cancer Informatics, (3), 1 - 17. https://doi.org/10.1200/CCI.18.00056
. (2019). Marketing AI recruitment: The next phase in job application and selection. Computers In Human Behavior, 90, 215 - 222. https://doi.org/10.1016/j.chb.2018.09.009
. (2019). Physician perspectives on integration of artificial intelligence into diagnostic pathology. Npj Digital Medicine, 2(1). https://doi.org/10.1038/s41746-019-0106-0
. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
. (2020). AI-enabled recruiting: What is it and how should a manager use it?. Business Horizons, 63, 215–226. https://doi.org/10.1016/j.bushor.2019.12.001
. (2020). Algorithms at work: The new contested terrain of control. Academy Of Management Annals, 14(1), 366 - 410. https://doi.org/10.5465/annals.2018.0174
. (2020). Are machines stealing our jobs?. Cambridge Journal Of Regions, Economy And Society, 13, 153–173. https://doi.org/10.1093/cjres/rsz025