| Abstract [eng] |
This paper analyzes two main risks associated with the use of machine learning methods in the marketplace. Written work begins with the concept of machine learning. The first part seeks to see as many aspects as possible that influence a decisions which are based on machine learning. This section highlights aspects such as the large number of machine learning algorithms, their ability to develop autonomously, and make independent decisions. The next section analyzes tacits collusions. Much attention is paid to the detection of these agreements, the role of algorithms in these agreements, and possible solutions for such agreements. The results of the analysis in this section suggest that managing these risks may be very difficult. And finally, attention is paid on discriminatory pricing. In this section, the situation is assessed from 2 two perspectives. On the one hand, it is analyzed how such pricing will affect the relationship between entrepreneurs, and on the other hand, the relationship between entrepreneurs and consumers is analyzed separately. However, in both cases, no significant problems are seen. |
