Managing Privacy through Accountability pp 49-82 | Cite as
The Accountability Principle in Data Protection Regulation: Origin, Development and Future Directions
Abstract
Accountability made its formal debut in the field of international data protection more than 30 years ago, when it was adopted as a data protection principle in the Organization for Economic Cooperation and Development (OECD) Guidelines.4 As of late, the policy discourse on the regulation of data protection has been rife with references to accountability. Most notably, in 2010, the Article 29 Data Protection Working Party issued an Opinion on the principle of accountability in which it elaborated upon the possibility of including a general provision on accountability in the revised Data Protection Directive.5 The European Commission has also made a reference to the possibility of introducing a principle of accountability in its subsequent Communication outlining a strategy for modernising the EU data protection framework.6 Within the context of these documents, the introduction of an accountability principle is seen mainly as a way to help ensure ‘that data controllers put in place effective policies and mechanisms to ensure compliance with data protection rules’.7 While this objective is in line with previous iterations of the principle of accountability, important nuances exist among the various documents which have promulgated accountability as a data protection principle.
Keywords
Data Protection Accountability Mechanism International Transfer Accountability Agent Data Protection DirectivePreview
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Notes
- 4.Organisation for Economic Co-operation and Development (OECD), ‘Recommendation of the Council concerning Guidelines governing the protection of privacy and transborder flows of personal data’, 23 September 1980, available at http://www.oecd.org/document/18/0,3343,en_2649_34255_1815186_1_1_1_1,00.html. Accessed 30 November 2010.Google Scholar
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- 16.A. Sinclair, ‘The chameleon of accountability: forms and discourses,’ p. 221. Such connotation typically results from the nature of the subject matter, which may involve one or more assumptions regarding the modalities or implications of accountability mechanisms. For instance, in computer science, accountability is used mainly in reference to auditability and/or the use of non-repudiation mechanisms. (See also S. Pearson and A. Charlesworth, ‘Accountability as a way forward for privacy protection,’ p. 134 andGoogle Scholar
- P. Malone and B. Jennings, ‘Distributed accountability model for digital ecosystems’ in Second IEEE International Conference on Digital Ecosystems and Technologies (Phitsanulok: IEEE/IET Electronic Library (IEL), VDE VERLAG Conference Proceedings 2008, pp. 452–3.) In this context accountability denotes that a system or protocol has been designed in such a way that relevant events can be reconstructed or that plausible deniability has been diminished. (See, e.g., G. Miklau, B. Levine and P. Stahlberg, ‘Securing history: privacy and accountability in database systems’ (paper presented at 3rd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, USA, 7–10 January 2007, p. 387. Online Proceedings: www.crdrdb.org.) In other words, accountability is approximated to the availability of mechanisms which enable attribution of actions or events on a post facto basis. In psychology, accountability has been said to refer to the implicit or explicit expectation that one may be called on to justify one’s beliefs, feelings, and actions to others. (CrossRefGoogle Scholar
- J.S. Lerner and P.E. Tetlock, ‘Accounting for the effects of accountability,’ Psychological Bulletin 1999, vol. 125, p. 255. Here the focus lies on the impact of an accountability relationship on a subject’s mental state rather than on the mechanisms which enable or otherwise support accountability.CrossRefGoogle Scholar
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