Abstract
This paper studies ‘the order effect’ in decision making based on classification results of 120 000 citizen claims to Moscow Government. We use machine learning methods and derive that with 60% probability the first out of two consequent claims is prioritized. We conclude that this impact must be considered whilst developing artificial intelligence units.
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Notes
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Research was supported by РФФИ, grant № 17-07-01441.
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Romanov, D., Kazantsev, N., Edgeeva, E. (2019). The Presence of Order-Effect Bias in Moscow Administration. In: Di Ciccio, C., et al. Business Process Management: Blockchain and Central and Eastern Europe Forum. BPM 2019. Lecture Notes in Business Information Processing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-30429-4_26
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DOI: https://doi.org/10.1007/978-3-030-30429-4_26
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