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  • 1.
    Colonna, Liane
    Stockholm University, Faculty of Law, Department of Law.
    Article 4 of the EU Data Protection Directive and the irrelevance of the EU–US Safe Harbor Program?2014In: International Data Privacy Law, ISSN 2044-3994, E-ISSN 2044-4001, Vol. 4, no 3, p. 203-221Article in journal (Refereed)
    Abstract [en]
    • The relationship between the EU–US Safe Harbor Program and the applicable law provisions set forth in the EU Data Protection Directive and the proposed EU Data Protection Regulation requires clarification.

    • A central concern for US companies is that the benefits of enrolment in the EU–US Safe Harbor Program will be undermined by the broad assertions of extraterritorial jurisdiction made by the EU pursuant to Article 4 of the Directive/Article 3 of the proposed Regulation.

    • If the extraterritorial scope of the Directive/Regulation is widely interpreted then many US companies may lose their incentive to join the Safe Harbor Program because the major benefits of joining the Safe Harbor Program—the ability to rely on industry dispute resolution mechanisms, US law to interpret the Principles, and US courts and administrative bodies to hear claims—will be removed.

  • 2.
    Colonna, Liane
    Stockholm University, Faculty of Law, Department of Law.
    Teachers in the loop? An analysis of automatic assessment systems under Article 22 GDPR2023In: International Data Privacy Law, ISSN 2044-3994, E-ISSN 2044-4001, Vol. 14, no 1, p. 3-18Article in journal (Refereed)
    Abstract [en]

    Key Points

    • This article argues that while there is great promise in the everyday automation of higher education to create benefits for students, efficiencies for instructors, and cost savings for institutions, it is important to critically consider how AI-based assessment will transform the role of teachers and the relationship between teachers and students.
    • The focus of the work is on exploring whether and to what extent the requirements set forth in Article 22 of the General Data Protection Regulation (GDPR) apply within the context of AI-based automatic assessment systems, in particular the legal obligation to ensure that a teacher remains in the loop, for example being capable of overseeing and overriding decisions when necessary.
    • Educational judgments involving automatic assessments frequently occur in a complicated decision-making environment that is framed by institutional processes which are multi-step, hierarchical, and bureaucratic. This complexity makes it challenging to determine whether the output of an AI-based automatic assessment system represents an ‘individual decision’ about a data subject within the meaning of Article 22.
    • It is also unclear whether AI-based assessments involve decisions based ‘solely’ on automatic processing or whether teachers provide decisional support, excluding the application of Article 22. According to recent enforcement decisions, human oversight is entangled with institutional procedures and safeguards as well as system design.
  • 3.
    Granmar, Claes
    Stockholm University, Faculty of Law, Department of Law.
    Global applicability of the GDPR in context2021In: International Data Privacy Law, ISSN 2044-3994, E-ISSN 2044-4001, Vol. 11, no 3, p. 225-244Article in journal (Refereed)
    Download full text (pdf)
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  • 4.
    Svantesson, Dan Jerker B.
    Stockholm University, Faculty of Law, Department of Law, The Swedish Law and Informatics Research Institute. Bond University, Australia; Masaryk University, Czech Republic.
    Extraterritoriality and targeting in EU data privacy law: the weak spot undermining the regulation2015In: International Data Privacy Law, ISSN 2044-3994, E-ISSN 2044-4001, Vol. 5, no 4, p. 226-234Article in journal (Refereed)
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