Suchergebnisse für Datenschutz

Praktische Problemfelder und Lösungsansätze in Bezug auf die «FinTech»-Bewilligungsvoraussetzungen von Art. 1b BankG

The piece at hand addresses in depth the FinTech license according to art. 1b of the Swiss Banking Act (BA) that is in force since January 1^st 2019. The FinTech license provides for a new category of a regulatory status for FinTech institutions that do not offer typical banking activities, but whose business touches certain elements of banking. It aims to foster innovation in the financial market…

Big Data and the Law: a holistic analysis based on a three-step approach – Mapping property-like rights, their exceptions and licensing practices

Given Big Data’s increasing importance, it seems important to develop a clear and coherent body of law and to organize the different relationships among all stakeholders and legal regimes that grant different property-like rights. There are already numerous studies on the interactions between Big Data and intellectual property and/or privacy, but less that map all legal regimes, including the…

Les données bancaires pseudonymisées – Du secret bancaire à la protection des données

Law strictly restricts the transfer of personal data and data protected by banking secrecy, especially outside of Switzerland. Personal data is defined as all information relating to an identified or identifiable person. Similarly, legal scholarship and case law hold that banking secrecy protects only client identifying data. The ability to identify the relevant person is thus core to both data…

Le droit bancaire privé suisse 2019 / Das schweizerische Bankprivatrecht 2019

Cette chronique s’allonge chaque année. Sa consultation en devient moins aisée. Pour faciliter son accès aux lecteurs nous avons introduit trois nouveautés.

Editorial

Die Digitalisierung verändert immer weitere Be­reiche des täglichen Lebens und der Tätigkeiten von Unternehmen und Behörden. Betroffen sind auch Handlungen, die seit jeher von Menschen ausgeführt…

Automatisierte Entscheidungen: Grundfragen aus der Perspektive des Privatrechts

Data protection law addresses the issue that more and more (complex) decisions are taken automatically. A closer look at the regulatory approaches of the General Data Protection Regulation (GDPR), the Council of Europe’s Convention 108 and the draft Swiss Federal Act on Data Protection (draft FADP) leads to two conclusions. On the one hand, the scope of application of these provisions is too…

Automatisierte Entscheidungen: Perspektive Grundrechte

Automated decisions affect the legal system in a wide variety of areas. In a state governed by the rule of law, fundamental rights are of great importance; their ­validity can lead to a conflict with «results» produced by algorithms. The article examines five areas (employment relationships, biomedical «environment», moderation of online content, financial markets, procedural guarantees) and,…

Automatisierte Entscheidungen: Perspektive Datenschutzrecht und ­öffentliche Verwaltung

In the area of government action, automated individual decisions in the sense of the draft revision of the Swiss Federal Data Protection Act (E-DSG) are fully automated decrees. Art. 19 E-DSG provides, on the one hand, for a labelling obligation for such decrees and, on the other hand, for certain decisions, the person concerned is granted the opportunity, upon request, to state his point of view…

Bestimmung von Vertragskonditionen im Rahmen automatisierter Entscheidungen

Automated decision making has become increasingly popular in the context of contracting. Essential contractual conditions, in particular the price, are automatically determined based on a number of factors, a wealth of data and by the use of algorithms. Automated decision making for contractual terms raises a number of legal issues and questions, in particularly related to data protection, fair…

Robot Recruiting

«Robot recruiting» refers to the automation of the recruiting process using data driven technologies. More than half of HR managers expect artificial intelligence to become part of their daily routine in just a few years’ time. Hiring algorithms are said to make hiring more consistent and efficient and even have the potential to remove interpersonal bias from the hiring process. But critics argue…