GDPR and Personal Data Protection in the Employment Context
DOI:
https://doi.org/10.6092/issn.2421-2695/7573Keywords:
GDPR, employee, employment, Big data, Big Data Management, HR Analytics, algorithms, personal data, employer, surveillance, electronic communications, new technologies, work, WP29, workplace, application and smart device, company property, labour relationAbstract
Digital transformation and new technologies have completely overwhelmed the way to process personal data in the employment context.
This paper analyses how the right to protection of personal data has been codified in a multilevel legal framework (ECHR, EU Treaties, Directives and Regulations), how and if this right related to workers can prevail over the interests of companies, what guarantees are foreseen in the working context for the processing of personal data in Regulation 2016/679/EU (GDPR) and what kind of safeguards could be provided in each Member State.
In the GDPR, the right of employees to the protection of personal data is not particularly protected so as to prevail over the interests of companies. Despite the great importance of individual rights in the employment context, the European Union has failed to establish uniform rules. On this crucial issue we may have the opportunity to strengthen the protection of workers' rights, ensuring that personal autonomy is guaranteed and can be exercised by individuals even in the context of Big Data.References
Appiah K.A., The Ethics of Identity, Princeton, NJ, Princeton University Press, 2005.
Bevitt A. – Stack C., Preparing for the GDPR – advice for employers, Privacy&Data Protection Journal (PDP), https://www.cooley.com/files/Preparing%20%for%20the%20GDPR.pdf
ENISA, Privacy by design in big data. An overview of privacy enhancing technologies in the era of big data analytics, 2015 https://www.enisa.europa.eu/publications/big-data-protection
Executive Office of the President, Big Data: A Report on Algorithmic Systems, Opportunity, and Civil Rights, May 2016 https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/2016_0504_data_discrimination.pdf
Goodman B. – Flaxman S., European Union regulation on algorythmic decision-making and a “right to explanation” https://arxiv.org/pdf/1606.08813.pdf
Goodman B., A Step Towards Accountable Algorithms?: Algorithmic Discrimination and the European Union General Data Protection http://www.mlandthelaw.org/papers/goodman1.pdf
Mayer-Schönberger V., Regime Change? Enabling Big Data Through Europe’s New Data Protection Regulation http://www.stlr.org/cite.cgi?volume=17&article=SchonbergerPadova.
Mantelero A., Personal data for decisional purpose in the age of analytics: From an individual to a collective dimension of data protection in Computer Law and Security Review, 2016, 32, 245.
Mason S., Electronic Evidence: Disclosure, Discovery and Admissibility, London, LexisNexis Butterwords, 2007.
Pino G., L’identità personale in S. Rodotà – M. Tallacchini (a cura di), Ambito e fonti del biodiritto, in S. Rodotà – P. Zatti (diretto da), Trattato di biodiritto, Milano, Giuffré, 2010
Pizzetti F., Intelligenza artificiale e salute: il sogno dell’immortalità alla prova del GDPR 15 settembre 2017 https://www.agendadigitale.eu/sicurezza/intelligenza-artificiale-e-salute-il-sogno-dellimmortalita-alla-prova-del-gdpr/
Posner R., Are We One Self or Multiple Selves? Implications for Law and Public Policy, in Legal Theory, 1997, 3, 23-35.
SADFE 2015, Proceedings of the 10th International Conference on Systematic Approaches to Digital Forensic Engineering in http://sadfe2015.safesocietylabs.com/wp-content/uploads/2015/10/SADFE-2015-Proceedings.pdf
Sen A., Identity and Violence, London, Allen Lane, 2006
Wallace N., EU’s Right to Explanation: A Harmful Restriction on Artificial Intelligence January 2017 http://www.techzone360.com/topics/techzone/articles/2017/01/25/429101-eus-right-explanation-harmful-restriction-artificial-intelligence.htm
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