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The ITSL is working on a number of research projects within the scope of its research areas.
Completed research projects
Project duration: October 1, 2022 to September 30, 2023
Project team: The research project funded by swissuniversities is a cooperation of various institutions. The Center for Information Technology, Society, and Law (ITSL) of the University of Zurich, is the leading house of the project and responsible for the management and organization of the project.
The project partners are:
Project description
In the context of publishing scientific publications, authors usually assign their copyrights to publishers. In current practice, the possibilities for parallel publication – whether with publishers or on repositories – are limited and dictated by publishers. Therefore, a secondary publication of the publication proofs difficult. Universities and research funding agencies have long been demanding that publicly funded research should be freely accessible to all interested parties. Free access to scientific publications via the Internet is the basic idea behind the concept of Open Access. This increases the pressure on publishers to allow secondary publications. At the same time, it increases legal uncertainty for authors about secondary publications and Open Access.
From a legal perspective, the question arises as to whether and how Switzerland should regulate a secondary publication right. In addition to this question, other regulatory challenges are being investigated in the context of Open Access.
The project is divided into two parts, which will be elaborated in different areas of work.
The results of the project are expected to be presented to interested parties at a public event in the fall of 2023.
The ScanVan project team at EPFL has developed a new "spherical" camera and a dedicated vehicle to allow the 3D-digitization of Swiss and European cities. While conventional cameras always have a limited field of view, the ScanVan camera is capable of perceiving in all directions simultaneously. Using photogrammetry, the images are used to generate a 3D point cloud of the captured area. Mounted on a small car, the system permits to digitise a city simply by driving once in each of its streets. The project was funded by the Swiss National Science Foundation as part of the National Research Programme 75 "Big Data" (NRP 75).
The ITSL has joined the research project in the spring of 2020 to analyze the potential privacy issues in the light of Swiss and European data protection law. This input led to the implementation of different measures to ensure privacy by design. The interface was designed to incorporate this aspect intrinsically into its operation. Algorithms were programmed to erase people and vehicles from the captured spherical images. Additionally, an annotation interface makes it easy for anyone to point out privacy issues and request the removal of the respective data.
ScanVan: Data Protection Analysis (PDF, 2 MB)
More information about this project is available on the ScanVan project website and in the following video:
Technological progress – especially in the field of artificial intelligence (AI) or machine learning – leads to decisions being made automatically in more and more areas of daily life. Because it is ultimately algorithms that convey a result on the basis of certain decision-relevant parameters, the literature uses the terminologies "automated" and "algorithmic" decisions interchangeably.
Policymakers have become aware of the automation of everyday life and the associated delegation of certain human decision-making processes to machines. Since May 2018, for example, the European General Data Protection Regulation (GDPR) addresses this phenomenon in different provisions and recitals. Although such legal approaches exist, research on how policymakers should regulate issues surrounding automated decision-making is still in its infancy.
In this research project funded by the Hasler Foundation, the ITSL examines the nature and characteristics of automated decision-making on the one hand, and the need for and design of regulation on the other. The combination of these two complementary parts provides answers to the central research question of how to deal with automated decision-making from a regulatory point of view.
These questions were discussed in public on 13 November 2019 at an event hosted by ITSL. Individual contributions to this event were published in extended form in the Schweizerischen Zeitschrift für Wirtschafts- und Finanzmarktrecht in early 2020. From 12 to 14 September 2019, ITSL held an international expert workshop with scientists in the field of law, communications studies and computer science. The workshop was sponsored by the Swiss National Science Foundation (SNSF) and its main insights are compiled in a Workshop Report (PDF, 440 KB).
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On behalf of the Foundation for Technology Assessment (TA-Swiss), the ITSL in conjunction with other researchers from Switzerland and Austria conducted an interdisciplinary study on the risks and opportunities of Artificial Intelligence (AI). The research group consisted of researchers from the fields of informatics, business administration, economics, educational sciences, communication science, law and ethics. The study’s main objective was enabling policy makers to make informed decisions with regard to AI. The interdisciplinary study evaluates the impact AI has on four main areas: the world of work, education, consumption and administration. An emphasis is put on deep learning algorithms; however, other forms of AI are also subject to investigation. The study was presented in April under the name «Wenn Algorithmen für uns entscheiden: Chancen und Risiken der künstlichen Intelligenz» during a media press conference and is available here.
Nowadays, information and communication technologies allow mass collection and analysis of personal data. Against this background, the right to privacy is of major scholarly interest. But despite the fact that this right’s origins date back to the Universal Declaration of Human Rights (UDHR) in 1948, its exact scope remains relatively blurry. In this research project, we examine the foundations of the right to privacy and analyse how modern data protection law draws on this right.
The insurance industry has a genuine interest in Big Data applications. By applying profiling or predictive analytics techniques and by using quantified self applications, specific risks of an insured person can be assessed more precisely. At the same time, the moral foundation of any insurance system is solidarity; individual risks should be distributed among all insured persons. These conflicting goals are to some extent paradigmatic for the challenges brought about by digitalization. The ITSL participated in an interdisciplinary project funded by the National Research Program (NRP 75 – Big Data) which analysed this conflict and brought together researchers from ethics, economics and law. The results of this research may by found here
The increasing number of data-driven business models as well as the growing importance and value of data have spurred the question whether data belong to someone, and if so, to whom. While the topic has already entered the political sphere, a number of key questions remain unanswered or were, to date, only touched upon briefly. A one-year research project funded by the Hasler Foundation addresses these fundamental questions regarding such a potential exclusivity right on data: How can such a right be justified? What would be its scope and limitations? And how could it be implemented?
These questions were discussed in public on 29 March 2017 at an event hosted by ITSL. From 6 to 8 July 2017, ITSL held an international expert workshop with scientists in the field of law and computer science. The workshop was sponsored by the Swiss National Science Foundation (SNSF) and its main insights are compiled in a Workshop Summary (PDF, 223 KB).
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