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.