The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Big Data and Analytics in the Age of the GDPR
Abstract
The new European General Data Protection Regulation places stringent restrictions on the processing of personally identifiable data. The GDPR does not only affect European companies, as the regulation applies to all the organizations that track or provide services to European citizens. Free exploratory data analysis is permitted only on anonymous data, at the cost of some legal risks. We argue that for the other kinds of personal data processing, the most flexible and safe legal basis is explicit consent. We illustrate the approach to consent management and compliance with the GDPR being developed by the European H2020 project SPECIAL, and highlight some related big data aspects.
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“For narrowly tailored AI models based on supervised learning strategies, one may argue that AI training is not particularly harmful as it does not, generally, reveal any new information about the data subjects themselves [29 -31].”
From Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity (2024) · cites this paper as [31]
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“While scholars are divided about whether the use of personal data for machine learning purposes should be permitted under the balancing test (permissive view: [26]; more restrictive view: [109, 117]; see also [118]), the threat of model inversion arguably weighs in favor of data subjects.”
BackgroundGenerative AI in EU law: Liability, privacy, intellectual property, and cybersecurity
Novelli, C., Casolari, F., Hacker, P., Spedicato, G., & Floridi, L. (2024) · Computer Law & Security Review · doi:10.1016/j.clsr.2024.106066 · Cited by 124
Generative Ai in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Novelli, C., Casolari, F., Hacker, P., Spedicato, G., & Floridi, L. (2024) · doi:10.2139/ssrn.4821952 · Cited by 57
Metadata
- Authors
- Bonatti, P. A., & Kirrane, S.
- Affiliations
- Università di Napoli Federico II
- Vienna University of Economics and Business
- Venue
- 2019 IEEE International Congress on Big Data (BigDataCongress)
- Publisher
- IEEE
- Published
- 2019-07
- Pages
- 7-16
- Cited by
- 16
- References
- 36
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