Algorithmic Social Sorting and New Legal Narratives on Digital Privacy
DOI:
https://doi.org/10.47152/ziksi2022036Keywords:
privacy, human rights, algorithms, surveillance, personal dataAbstract
The use of algorithms for social sorting has imposed the need to challenge the traditional understanding of the private sphere as a sealed-off realm free from surveillance and outside intervention. The relationship between the private and public has become dynamic and complex, while the borderline between the two zones remains in a state of flux. The concept of digital privacy is related to the data doubles rather than physical bodies, and it is limited to partial control over personal data. The General Data Protection Regulation, along with the new legislation, namely the Artificial Intelligence Act and the Digital Services Act, offers a conceptualisation of digital privacy that recognises novel surveillance practices involving the collection, interpretation, use, and misuse of biometric and behavioural data. This paper uses the method of conceptual analysis to investigate the new definitions of digital privacy that emerge from the corpus of legislative acts, including the GDPR, AIA, and DSA, and to find out how they generate new legal narratives on privacy that recognise the dangers of echo chambers and algorithmic decision-making.
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