scholarly journals Model for assessing the efficiency of departments anti-air defense

2021 ◽  
Vol 5 (2) ◽  
pp. 21-28
Author(s):  
Serhii Kovalenko ◽  
Sergeу Herasimov ◽  
Andriy Volkov ◽  
Serhii Korsunov ◽  
Mykola Oboronov
Keyword(s):  
Decision Making ◽  
Data Exchange ◽  
Air Defense ◽  
Military Equipment ◽  
Proposed Model ◽  
External Sources ◽  
Typical Composition ◽  
The Right ◽  
Radar Information ◽  
Automated Decision Making

An urgent issue of modern local conflicts is the substantiation of the ability of air defense units to carry out their immediate tasks of providing air cover for ground forces. The solution to this issue is especially relevant in local conflicts, when the space in which it is necessary to perform the assigned task is stretched in width and depth. The purpose of the article is to develop a model for evaluating the effectiveness of ground forces cover by air defense units in new positional areas, which have changed in size in width and depth. The article proposes a model that makes it possible to assess the effectiveness of covering weapons and military equipment and infrastructure of ground forces by air defense units. The model was developed using the theory of probability. Conclusions. The proposed model involves the choice of a typical composition of internal and external sources of radar information, the direction of data exchange, the composition of the tasks of data processing, the formation of recommendations on the composition of the air defense team and their management. The developed model helps the commander of the air defense unit to evaluate the options for his structure, choose rational ones, with the best cover efficiency, and helps him make the right decision to repel air strikes. The model is proposed to be used in decision-making systems to help the commander make the right decision to cover ground units from the air. The proposed model will also be effective in automated decision-making systems.

scholarly journals Legal and Technical Feasibility of the GDPR’s Quest for Explanation of Algorithmic Decisions: of Black Boxes, White Boxes and Fata Morganas

2020 ◽  
Vol 11 (1) ◽  
pp. 18-50 ◽  
Author(s):  
Maja BRKAN ◽  
Grégory BONNET
Keyword(s):  
Decision Making ◽  
Interdisciplinary Approach ◽  
Practical Implementation ◽  
General Data Protection Regulation ◽  
Legal Limits ◽  
Black Boxes ◽  
General Data ◽  
The Subject ◽  
The Right ◽  
Automated Decision Making

Understanding of the causes and correlations for algorithmic decisions is currently one of the major challenges of computer science, addressed under an umbrella term “explainable AI (XAI)”. Being able to explain an AI-based system may help to make algorithmic decisions more satisfying and acceptable, to better control and update AI-based systems in case of failure, to build more accurate models, and to discover new knowledge directly or indirectly. On the legal side, the question whether the General Data Protection Regulation (GDPR) provides data subjects with the right to explanation in case of automated decision-making has equally been the subject of a heated doctrinal debate. While arguing that the right to explanation in the GDPR should be a result of interpretative analysis of several GDPR provisions jointly, the authors move this debate forward by discussing the technical and legal feasibility of the explanation of algorithmic decisions. Legal limits, in particular the secrecy of algorithms, as well as technical obstacles could potentially obstruct the practical implementation of this right. By adopting an interdisciplinary approach, the authors explore not only whether it is possible to translate the EU legal requirements for an explanation into the actual machine learning decision-making, but also whether those limitations can shape the way the legal right is used in practice.

The Right of Access under EU Data Protection Law

2021 ◽  
pp. 104-128
Author(s):  
Helena U. Vrabec
Keyword(s):  
Decision Making ◽  
Data Protection ◽  
Shared Data ◽  
The Core ◽  
Data Protection Law ◽  
The Right ◽  
Automated Decision Making ◽  
Right Of Access ◽  
Data Subject ◽  
Core Part

Chapter 5 focuses on Article 15 of the GDPR and explains the scope of the information that can be accessed under the right. The chapter then discusses the importance of the interface to submit data subject access requests. The core part of Chapter 5 is the analysis of the regulatory boundaries of the right of access and various avenues to limit the right, for instance, a conflict with the rights of another individual. Finally, the chapter illustrates how the right of access is applied in the data-driven economy by applying it to three different contexts: shared data, anonymised/pseudonymised data, and automated decision-making.

scholarly journals Algorytm jako informacja publiczna w prawie europejskim

2021 ◽  
Author(s):  
Joanna Mazur
Keyword(s):  
Decision Making ◽  
European Union ◽  
Human Rights ◽  
European Law ◽  
The European Union ◽  
Court Of Justice ◽  
European Court ◽  
Access Information ◽  
The Right ◽  
Automated Decision Making

The author verifies the hypothesis concerning the possibility of using algorithms – applied in automated decision making in public sector – as information which is subject to the law governing the right to access information or the right to access official documents in European law. She discusses problems caused by the approach to these laws in the European Union, as well as lack of conformity of the jurisprudence between the Court of Justice of the European Union and the European Court of Human Rights.

Can public access to documents support the transparency of automated decision-making? The European Union law perspective

2020 ◽  
Author(s):  
Joanna Mazur
Keyword(s):  
Decision Making ◽  
European Union ◽  
Human Rights ◽  
Eu Law ◽  
The European Union ◽  
European Union Law ◽  
Access Information ◽  
The Right ◽  
Automated Decision Making ◽  
The Impact

ABSTRACT Due to the concerns which are raised regarding the impact of automated decision-making (ADM) on transparency and their potential discriminatory character, it is worth examining the possibility of applying legal measures which could serve to increase transparency of ADM systems. The article explores the possibility to consider algorithms used in ADM systems as documents subjected to the right to access documents in European Union (EU) law. It is focused on contrasting and comparing the approach based on the right to access public documents developed by the Court of Justice of European Union (CJEU) with the approach to the right to access public information as interpreted by the European Court of Human Rights (ECtHR). The analysis shows discrepancies in the perspectives presented by these Courts which result in a limited scope of the right to access public documents in EU law. Pointing out these differences may provide a motivation to clarify the meaning of the right to access information in EU law, the CJEU’s approach remaining as for now incoherent. The article presents the arguments for and ways of bringing together the approaches of the CJEU and the ECtHR in the light of a decreasing level of transparency resulting from the use of ADM in the public sector. It shows that in order to ensure compliance with EU law, it is necessary to rethink the role which the right to access information plays in the human rights catalogue.

scholarly journals A hybrid multi-criteria decision making model for the vehicle service center selection with the aim to increase the vehicle fleet energy efficiency

2018 ◽  
Vol 22 (3) ◽  
pp. 1549-1561 ◽  
Author(s):  
Davor Vujanovic ◽  
Vladimir Momcilovic ◽  
Milos Vasic
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Maintenance Planning ◽  
Proposed Model ◽  
Network Process ◽  
Maintenance Work ◽  
The Right ◽  
Decision Making Model

In this paper is researched how to achieve an effective fleet maintenance planning in transport companies, which contributes in increasing the fleet energy efficiency and in achieving the companies? goal. Within the fleet maintenance planning, managers have to make the right decisions on the selection of vehicle service centers in the region where the maintenance work will be realized. The mentioned decision is affected by a number of different interdependent factors (criteria). Based on a survey, relevant factors (criteria) were defined. As defined factors are interdependent and differently influence the mentioned decision, an approach of decision making trial and evaluation laboratory (DEMATEL)-based analytic network process called DANP was applied. In this respect, authors propose a hybrid multi-criteria decision making model. The proposed model was applied in the companies to demonstrate how effective their managers are in the maintenance planning and how this effectiveness influences the fleet energy efficiency and fulfilment of companies? goal.

Regulating without Regulation? Regulating without the Sovereign?

2021 ◽  
Vol 46 (3-4) ◽  
pp. 321-345
Author(s):  
Robert Grzeszczak ◽  
Joanna Mazur
Keyword(s):  
Decision Making ◽  
Data Protection ◽  
Legal Order ◽  
General Data Protection Regulation ◽  
Regulatory Processes ◽  
Participative Approach ◽  
General Data ◽  
The Right ◽  
Automated Decision Making

Abstract The development of automated decision-making technologies creates the threat of de-iuridification: replacement of the legal acts’ provisions with automated, technological solutions. The article examines how selected provisions of the General Data Protection Regulation concerning, among other things, data protection impact assessments, the right to not be subject to automated decision-making, information obligations and the right to access are applied in the Polish national legal order. We focus on the institutional and procedural solutions regarding the involvement of expert bodies and other stakeholders in the process of specification of the norms included in the gdpr and their enforcement. We argue that the example of Poland shows that the solutions adopted in the gdpr do not shift the balance concerning regulatory power in regard to automated decision-making to other stakeholders and as such do not favor of a more participative approach to the regulatory processes.

The Right to Information

2021 ◽  
pp. 64-103
Author(s):  
Helena U. Vrabec
Keyword(s):  
Decision Making ◽  
Data Processing ◽  
Relevant Information ◽  
Legal Basis ◽  
Control Rights ◽  
Data Flows ◽  
Right To Information ◽  
Types Of Information ◽  
The Right ◽  
Automated Decision Making

Chapter 4 addresses the right to information, the cornerstone of the system of control rights under the GDPR and the ePrivacy Directive. The types of information that are likely to provide data subjects the most relevant information about data processing in the context of the data-driven economy are analysed more thoroughly, e.g., the information about the legal basis for data processing, the information about the sources of data, and the details on automated decision-making. The chapter investigates the right to explanation and icons which seem to offer a new, promising option to exercise more control over modern data flows. In the ePrivacy area, the right to information plays an increasingly important role in regulating the use of cookies and similar tracking technologies. The chapter acknowledges that, despite some novel steps in the GDPR, entitlements that the law affords are undermined due to three groups of factors: psychological, technological, and economic.

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