Abstract

As a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing and use), algorithms (including artificial intelligence, artificial agents, machine learning and robots) and corresponding practices (including responsible innovation, programming, hacking and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data ethics builds on the foundation provided by computer and information ethics but, at the same time, it refines the approach endorsed so far in this research field, by shifting the level of abstraction of ethical enquiries, from being…

Citation impact

552
total citations
FWCI
48.34
Percentile
100%
References
24
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Information ethics
  • Data science
  • Variety (cybernetics)
  • Field (mathematics)
  • Computer ethics
  • Big data
  • Engineering ethics
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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Funding