Novas tecnologias, Big Tech e potenciais violações de Direitos Humanos
: o caso dos sistemas de recomendação

  • Paula Guedes Fernandes da Silva (Student)

Student thesis: Master's Thesis


Recommender systems are artificial intelligence tools for filtering information that seek to improve the individual online experience by recommending personalized items, based on preferences, behaviours and interests extracted from user’s data. Although potentially beneficial, the current implementation of these systems creates risks to human rights. Supported by an analysis of international legal doctrine, this work intends to seek possible solutions and strategies to mitigate the harmful effects caused by recommendation systems, mainly in terms of privacy violations, decreased autonomy, manipulation, impairment of democratic processes and discrimination. In this complex environment, in addition to legal regulation in terms of data protection, a multidisciplinary and multisectoral approach, based on ethical principles, educational measures, technological solutions and marketing strategies, which place the human being at the centre of the issue, seems to be ideal for minimize risks and enhance the benefits of using these systems.
Date of Award9 Jul 2021
Original languagePortuguese
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorFilipa Calvão (Supervisor)


  • Artificial intelligence
  • Recommender systems
  • Profiling
  • Automated decision-making
  • Human rights
  • Data protection


  • Mestrado em Direito

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