Legal challenges of the use of big data in the selection of subjects to be investigated by the Labour and Social Security Inspectorate

Abstract

Among the traditional formulas for selecting the subjects to be inspected, the use of big data and algorithms has recently been introduced. This technology promises to improve the "hits" when selecting which companies to investigate for possible crimes. This may pose legal problems regarding data protection, in the application of the principle of equality and non-discrimination in the selection of objectives and the obligations of transparency. This work analyzes, on the one hand, the legal challenges that this represents, with special recognition of the applicable principles and the incipient judicial doctrine in countries around us.

 

Keywords:

Algorithms and Public Administration, big data, selection of subjects to investigate, algorithmic transparency, AI and Public Administration, Labour and Social Security Inspectorate

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