Соединенные Штаты Америки
Response to Peter Schaar (Chairman of the European Academy For Freedom of Information and Data Protection, former German Data Commissioner) about the incompatibility of the Internet and Big Data with Data protection. It declares that technological development has overtaken the policy-making process and applications according to web 3.0 are likely to be far more effective at piecing together personal data than even traditional search engines.
In this panel, scholars discuss involving data, computational analysis, and information technology that has the potential to present ethical quandaries in the course of decision making related to digital government. More specifically, the presentations focus on algorithm-based decision making, personally identifiable information, and the manipulation of public opinion in social media channels. Discussion following the presentations will focus on how ethical guidelines should be formulated or what their specific content should be.
This paper presents an analysis of Russian data retention regulations. The most controversial point of the Russian data retention requirements is an obligation to keep the content of communications that is untypical for legislation of European and other countries. These regulations that oblige telecom operators and Internet communication services to store the content of communications should come into force on July 1, 2018.
The article describes in detail the main components of the data retention mechanism: the triggers for its application, its scope, exemptions and barriers to its enforcement. Attention is paid to specific principles for implementation of content retention requirements based on the concepts of proportionality, reasonableness and effectiveness.
Particular consideration is given to the comparative aspects of the Russian data retention legislation and those applying in different countries (mainly EU member states). The article focuses on the differences between the Russian and EU approaches to the question of how to strike a balance between public security interests and privacy. While the EU model of data retention is developing in the context of profound disputes on human rights protection, the Russian model is mostly concentrated on security interests and addresses mainly economic, technological aspects of its implementation.
The paper stresses that a range of factors (legal, economic and technological) needs to be taken into account for developing an optimal data retention system. Human rights guarantees play the key role in legitimization of such intrusive measures as data retention. Great attention should be paid to the procedures, precise definitions, specification of entitled authorities and the grounds for access to data, providing legal immunities and privileges, etc. Only this extensive range of legal guarantees can balance intervention effect of state surveillance and justify data retention practices.
This article is devoted to the problem of ensuring the balance between interests of employees and employers which monitor actions of their employees. The article covers European, American and Russian approaches to establishing the scope of employer`s right to interfere with employee`s privacy. The main idea of the article consists in necessity to apply the principles set forth in legislation for determining a legal extent of using a particular method of employee monitoring. Also the article provides the exemplary legal analyses of such mean of employee monitoring as video surveillance in the workplace.
The series of studies collected in theis book represent different approaches of their authors to the problem of privat life in the past.
The Big Data concept provides a new way to understand and change the world, thus greatly changing people's way of thinking and way of living. With the rapid development of Internet and technology, people are interacting with the world and sharing themselves in everyday life, during which massive personal information is revealed willingly or unwillingly. From Internet of Things (IoT) to Internet of Everything (IoE), from 4G to 5G, unimaginable amount of data will be produced in coming decades. How to ensure the security of our personal data has arisen the concern of government and big enterprises. This paper is an overall analysis of the challenges we faced on personal data protection during the era of big data, which also provides relative solutions depending on different contexts of personal data.