What is Data Ethics?

Phil. Trans. R. Soc. A, Volume 374, Issue 2083, December 2016

8 Pages Posted: 1 Feb 2017

See all articles by Luciano Floridi

Luciano Floridi

Yale University - Digital Ethics Center; University of Bologna- Department of Legal Studies

Mariarosaria Taddeo

University of Oxford - Oxford Internet Institute

Date Written: November 14, 2016


This theme issue has the founding ambition of landscaping Data Ethics 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 AI, 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 information-centric to being data-centric. This shift brings into focus the different moral dimensions of all kinds of data, even the data that never translate directly into information but can be used to support actions or generate behaviours, for example. It highlights the need for ethical analyses to concentrate on the content and nature of computational operations — the interactions among hardware, software, and data — rather than on the variety of digital technologies that enables them. And it emphasises the complexity of the ethical challenges posed by Data Science. Because of such complexity, Data Ethics should be developed from the start as a macroethics, that is, as an overall framework that avoids narrow, ad hoc approaches and addresses the ethical impact and implications of Data Science and its applications within a consistent, holistic, and inclusive framework. Only as a macroethics Data Ethics will provide the solutions that can maximise the value of Data Science for our societies, for all of us, and for our environments.

Keywords: Data Ethics, Data Science, Ethics of Data, Ethics of Algorithms, Ethics of Practises, Levels of Abstraction

Suggested Citation

Floridi, Luciano and Taddeo, Mariarosaria, What is Data Ethics? (November 14, 2016). Phil. Trans. R. Soc. A, Volume 374, Issue 2083, December 2016, Available at SSRN: https://ssrn.com/abstract=2907744

Luciano Floridi (Contact Author)

Yale University - Digital Ethics Center ( email )

85 Trumbull Street
New Haven, CT CT 06511
United States
2034326473 (Phone)

University of Bologna- Department of Legal Studies ( email )

Via Zamboni 22
Bologna, Bo 40100

HOME PAGE: http://www.unibo.it/sitoweb/luciano.floridi/en

Mariarosaria Taddeo

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

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