Navigating Privacy Issues in Gathering Training Data for AI: A Case Study of Google and Zoom
| Authors | |
|---|---|
| Year of publication | 2024 |
| Type | Article in Periodical |
| Magazine / Source | European Data Protection Law Review |
| MU Faculty or unit | |
| Citation | |
| web | https://edpl.lexxion.eu/article/EDPL/2024/4/5 |
| Doi | http://dx.doi.org/10.21552/edpl/2024/4/5 |
| Keywords | privacy; data scraping; training data; Google; Zoom; AI |
| Description | This article focuses on the privacy concerns related to the use of personal data in training generative AI tools under EU law. It examines common techniques for acquiring personal data for training new AI systems by tech companies, mainly focusing on the legal basis for processing such personal data. The lawfulness of scraping data from the internet and using data generated by users of a service will be evaluated thanks to a specific case analysis of the practices employed by Google and Zoom. The unlawfulness and breach of GDPR by Google and the dubious response to customer backlash done by Zoom are put into perspective and the limits of privacy regulation dealing with big technological companies are briefly explored as well as the public responses to the privacy threatening techniques used by these companies. |
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