| Autor: |
Michele Finck, Asia J. Biega |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Technology and Regulation, Vol 2021 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2666-139X |
| DOI: |
10.26116/techreg.2021.004 |
| Popis: |
This paper determines whether the two core data protection principles of data minimi- sation and purpose limitation can be meaningfully implemented in data-driven systems. While contemporary data processing practices appear to stand at odds with these prin- ciples, we demonstrate that systems could technically use much less data than they currently do. This observation is a starting point for our detailed techno-legal analysis uncovering obstacles that stand in the way of meaningful implementation and compliance as well as exemplifying unexpected trade-offs which emerge where data protection law is applied in practice. Our analysis seeks to inform debates about the impact of data protec- tion on the development of artificial intelligence in the European Union, offering practical action points for data controllers, regulators, and researchers. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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