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Data Guide

Data Ethics

Ethical issues in data analytics and science relate to:

  • Data (including generation, recording, curation, processing, dissemination, sharing, and use)
  • Algorithms (including artificial intelligence/machine learning, artificial agents, and robots)
  • Corresponding practices (including responsible innovation, programming, hacking, and professional codes)

See Luciano Floridi and Mariarosaria Taddeo, “What is Data Ethics?,” Phil. Trans. R. Soc. A 374 (2016): 3.

Resources to Get Started Thinking about Data and Data Ethics

Faculty recommended starting points for learning about data: