Samuele Renzi

Automated decision making, predictive analytics and workers’ privacy protection

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Abstract

The essay aims to verify how automated decision making processes, including profiling and predictive analytics, impact workers’ privacy. The author, after a general overview on the algorithmic technologies used in the workplace, carries out an analysis of the European legal framework on privacy, pointing out the lack of specificity of its provisions. According to the author, the use of algorithms in the workplace will grow in the future and therefore the principle of accountability should be valued and promoted, in order to ensure employees’ privacy.

Keywords

  • Algorithmic management
  • Automated decision making
  • Profiling
  • Predicting
  • Big data analytics
  • Workers’
  • privacy protection
  • GDPR

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