Using Dreyfus’ legacy to understand justice in algorithm-based processes

David Casacuberta, Ariel Guersenzvaig

Research output: Contribution to journalArticleResearch

2 Citations (Scopus)


© 2018, Springer-Verlag London Ltd., part of Springer Nature. As AI is linked to more and more aspects of our lives, the need for algorithms that can take decisions that are not only accurate but also fair becomes apparent. It can be seen both in discussions of future trends such as autonomous vehicles or the issue of superintelligence, as well as actual implementations of machine learning used to decide whether a person should be admitted in certain university or will be able to return a credit. In this paper, we will use Dreyfus’ account on ethical expertise to show that, to give an AI some ability to make ethical judgements, a pure symbolic, conceptual approach is not enough. We also need the ability to make sense of the surroundings to reframe and define situations in a dynamic way, using multiple perspectives in a pre-reflective way.
Original languageEnglish
Pages (from-to)313-319
JournalAI and Society
Publication statusPublished - 1 Jun 2019


  • Algorithmic biases
  • Autonomous driving
  • Autopoiesis
  • Computer ethics
  • Dreyfus
  • Expertise
  • Prereflective knowledge


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