Ethical problems in the use of algorithms in data management and in a free market economy

Autor: Rafał Szopa Zbigniew
Rok vydání: 2021
Předmět:
Zdroj: AI & SOCIETY.
ISSN: 1435-5655
0951-5666
DOI: 10.1007/s00146-021-01319-5
Popis: The problem that I present in this paper concerns the issue of ethical evaluation of algorithms, especially those used in social media and which create profiles of users of these media and new technologies that have recently emerged and are intended to change the functioning of technologies used in data management. Systems such as Overton, SambaNova or Snorkel were created to help engineers create data management models, but they are based on different assumptions than the previous approach in machine learning and deep learning. There is a need to analyze both deep learning algorithms and new technologies in database management in terms of their actions towards a person who leaves their digital footprints, on which these technologies work. Then, the possibilities of applying the existing deep learning technology and new Big Data systems in the economy will be shown. The opportunities offered by the systems mentioned above seem to be promising for many companies and—if implemented on a larger scale—they will affect the functioning of the free market.
Databáze: OpenAIRE
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