Abstract
Artificial intelligence (AI) is a fascinating concept whose origins can be found in the mid-twentieth century. It is an interdisciplinary field, integrating the efforts of logicians, mathematicians, computer scientists, psychologists and, more recently, managers and ethicists. Developing dynamically in the dimension of methods as well as technology, on the one hand, raises many hopes; on the other hand, it raises many fears and controversies (compare e.g. Bostrom 2014), particularly among investors who are interested in ventures with high development potential, yet they are afraid to invest in projects they simply do not understand.
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- 1.
The complete list of analyzed projects, companies and organizations along with the appropriate addresses of web pages are set out in Appendix 3 of Chap. 5. There, detailed and up-to-date information can be found on the offered products and services, operational or business models. For ease of reading, on the following pages there will be only the names of projects given, without reference to online resources.
- 2.
Due to the different scales (short and long) used in the terminology of numbers that are powers of 10, the use of terms such as “trillion” or “quintillion” was abandoned. The Anglo-Saxon countries use a short scale, while the European, the long one, which can sometimes lead to misunderstandings. For example, a quintile denotes the number of 10^18 in a short scale, and in the long scale: 10^30.
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Wodecki, A. (2019). Artificial Intelligence Methods and Techniques. In: Artificial Intelligence in Value Creation. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-91596-8_2
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