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https://hdl.handle.net/123456789/1700| Τύπος: | Άρθρο σε επιστημονικό περιοδικό |
| Τίτλος: | The right not to be subject to automated individual decision-making/profiling concerning big health data: developing an algorithmic culture. |
| Συγγραφέας: | [EL] Ιγγλεζάκης, Ιωάννης[EN] Iglezakis, Ioannis [EL] Κιορτσή, Παναγιώτα[EN] Kiortsi, Panagiota |
| Μέλος ερευνητικής ομάδας: | [EL] Τροκάνας, Θεόδωρος[EN] Trokanas, Theodoros |
| Ημερομηνία: | 05/11/2021 |
| Περίληψη: | This paper examines the legal issues arising from the collection and processing of Health Big Data in the light of the European legislation for the protection of personal data of natural persons, placing emphasis on the General Data Protection Regulation, i.e., Regulation 679/2016. Whether Big Health Data are “personal data” or not is really the heart of the matter. The legal ambiguity is compounded by the fact that, even though the processing of Big Health Data is premised on the de-identification of the data subject, the possibility of a combination of Big Health Data with other data circulating freely on the web or from other data files cannot be excluded. Moreover, data subject’s rights, e.g., the right not to be subject to a decision based solely on automated processing, are heavily impacted by the use of AI, algorithms and technologies that reclaim health data for further use, resulting in sometimes ambiguous results that have substantial impact on individuals. On the other hand, as the Covid-19 pandemic has revealed, Big Data analytics can offer crucial source of information. In this respect, this paper identifies and applies the legal provisions to algorithms used in big health data processing, providing an interpretation to address risks to data subject’s rights, while embracing the opportunities that Big Health Data has to offer. |
| Γλώσσα: | Αγγλικά |
| Σελίδες: | 9 |
| DOI: | 10.51483/ IJDSBDA.1.3.2021.6-14 |
| ISSN: | 2710-2599 |
| Θεματική κατηγορία: | [EL] Δίκαιο[EN] Law |
| Λέξεις-κλειδιά: | Big Data; health data; genetic data; privacy; GDPR; Processing principles; Algorithm accountability; Automated profiling |
| Κάτοχος πνευματικών δικαιωμάτων: | © 2021 The Author(s) |
| Όροι και προϋποθέσεις δικαιωμάτων: | This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
| Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: | https://www.svedbergopen.com/files/1641894860_(2)_IJDSBDA27072021MTN019_(p_6-14).pdf |
| Ηλεκτρονική διεύθυνση περιοδικού: | https://www.svedbergopen.com/ijdsbda/all-issues |
| Τίτλος πηγής δημοσίευσης: | International Journal of Data Science and Big Data Analytics |
| Τεύχος: | 3 |
| Τόμος: | 1 |
| Σελίδες τεκμηρίου (στην πηγή): | 6-14 |
| Σημειώσεις: | This paper is based on the research project “Legal issues concerning the collection and processing of Big Health Data in view of the EU Regulation 679/2016 (General Data Protection Regulation)” (MIS 5047861) of Operational Program “Human Resources, Development, Education and Lifelong Learning” - NSRF 2014-2020, which is co-financed by the ESF and national funds. |
| Εμφανίζεται στις συλλογές: | Ερευνητικές ομάδες |
Αρχεία σε αυτό το τεκμήριο:
| Αρχείο | Περιγραφή | Σελίδες | Μέγεθος | Μορφότυπος | Έκδοση | Άδεια | |
|---|---|---|---|---|---|---|---|
| Developing an Algorithmic Culture, International Journal of Data Science and Big Data Analytics.pdf | 288.96 kB | Adobe PDF | Δημοσιευμένη/του Εκδότη |  | Δείτε/ανοίξτε |