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SIENNA D6.2: Report on adapting methods for legal analysis of emerging technologies

Authors: Siemaszko, Konrad; Kalisz, Maciej; Marchiori, Samuela; Slokenberga, Santa; Warso, Zuzanna; Rodrigues, Rowena;

SIENNA D6.2: Report on adapting methods for legal analysis of emerging technologies

Abstract

The report outlines a revised general approach for legal analysis of emerging technologies. It elaborates and adapts the original approach developed in the SIENNA methodological Handbook which was applied to SIENNA legal studies in human genomics, artificial intelligence and robotics and human enhancement technologies. The proposed approach consists of four general steps: (1) specification of scope of legal analysis; (2) identification of legal issues; (3) analysis of international, regional (including EU) and national legal norms relevant for the identified issues and (4) identification of gaps and challenges in the existing legal frameworks with regard to the identified issues. The annex of the report includes two brief legal case-studies on three-dimensional printing and augmented reality technologies, illustrating how the major points of the revised approach could be applied to emerging technologies.

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Keywords

emerging technologies, human rights,, legal analysis, human rights-based approach, augmented reality technologies, methodology, three-dimensional printing

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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