automated decision-making

Blockchain, Automation and Fundamental Rights: Ensuring the Protection of Privacy and Personal Data in European Union Law

This article explores the interaction between emerging digital technologies − particularly blockchain and artificial intelligence − and European Union law in the field of personal data protection. The research applies methods of legal analysis of EU legal norms and comparative law (notably in the context of Council of Europe practices and other jurisdictions). Particular attention is paid to the legal and ethical challenges posed by the immutability of blockchain records, the absence of a centralized data controller, and the use of automated decision-making without human involvement.

Collaborative human-machine decision support systems with digital channels

The decision-making problem for the case of human-machine analysis of input data is considered. It was noted that the use of human-machine decision support systems allows to reduce time and money costs. A multi-channel automated decision-making system is considered, which can generate real-time decisions based on signals coming to it from different channels. All channels are numeric. Channels can be both software tools of artificial intelligence and competent experts who give conclusions on the researched issue.

Optimization of physical instruments' characteristics with TOPSIS

The present study focuses on the characteristics optimization of  the  physical instruments with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The hypothesis in this research work was that the characteristics of spectrometers and rheometers could affect their rankings, which in turn could be influenced by the underestimation of their cost criterion. In this paper, the characteristics optimization of the FTIR spectrometers and rheometers was carried out with TOPSIS.