The EU-US Data Privacy Framework: Is the Dragon Eating its Own Tail?
<|reference_start|>The EU-US Data Privacy Framework: Is the Dragon Eating its Own Tail?: The European Commission adequacy decision on the EU US Data Privacy Framework, adopted on July 10th, 2023, marks a crucial moment in transatlantic data protection. Following an Executive Order issued by President Biden in October 2022, this decision confirms that the United States meets European Union standards for personal data protection. The decision extends to all transfers from the European Economic Area to US entities participating in the framework, promoting privacy rights while facilitating data exchange. Key aspects include oversight of US public authorities access to transferred data, the introduction of a dual tier redress mechanism, and granting new rights to EU individuals, encompassing data access and rectification. However, the framework presents both promise and challenges in health data transfers. While streamlining exchange and aligning legal standards, it grapples with the complexities of divergent privacy laws. The recent bill for the introduction of a US federal privacy law emphasizes the urgent need for ongoing reform. Lingering concerns persist regarding the framework resilience, especially amid potential legal battles before the Court of Justice of the EU. The history of transatlantic data transfers between the EU and the US is riddled with vulnerabilities, reminiscent of the Ouroboros, an ancient symbol of a serpent or dragon eating its own tail, hinting at the looming possibility of the framework facing invalidation once again. This article delves into the main requirements of the framework and offers insights on how healthcare organizations can navigate it effectively.<|reference_end|>
@article{compagnucci2024the,
    title={The EU-US Data Privacy Framework: Is the Dragon Eating its Own Tail?},
    author={Marcelo Corrales Compagnucci},
    journal={arXiv preprint arXiv:2407.17021},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.17021},
    primaryClass={cs.CY}
}