- New research into the ethical impact of data science reveals complex challenges which need to be addressed in order to enable data science innovation to flourish
- The findings are generated by a workshop held at The Alan Turing Institute in order to scope its research agenda
Data science provides huge opportunities to improve public and private life, as well as our environment. However, such opportunities are also coupled to significant ethical challenges, posed by the ever-increasing volume of data – often personal, if not sensitive – and the growing reliance on algorithms to analyse them, combined with the gradual reduction of human involvement or even oversight over many automatic processes.
In a special issue of Philosophical Transactions A compiled and edited by Luciano Floridi and Mariarosaria Taddeo on behalf of The Alan Turing Institute and the Oxford Internet Institute, researchers present the context behind this emerging branch of research, drawing on a range of topics including privacy and human rights, and data ethics as applied to government, economics and smart cities.
In the special issue, Floridi and Taddeo split the ethical challenges posed by data science into three key areas of research:
- the ethics of data (how data is generated, recorded and shared)
- the ethics of algorithms (how artificial intelligence, machine learning and robots interpret data)
- the ethics of practices (devising responsible innovation and professional codes to guide this emerging science)
A key recommendation of the paper is to implement a large-scale ethical framework to address the impact and implications of data science, rather than relying on ad hoc or narrow approaches. This framework should build on the rich legacy of computer and information ethics which has developed over the past 30 years in response to the growth of digital technologies.
Professor Luciano Floridi, Professor of Philosophy and Ethics of Information at the Oxford Internet Institute and Turing Faculty Fellow, commented:
“While the data ethics landscape is complex, we are confident that these ethical challenges can be addressed successfully.
Striking a robust balance between enabling innovation in data science technology, and respecting privacy and human rights will not be an easy or simple task. But the alternative, failing to advance both the ethics and the science of data, would have regrettable consequences.
The new research published today was generated by a workshop held to determine the research agenda for the newly-created national centre for data science, The Alan Turing Institute.
As the Institute begins its first ever academic year, experts in social data science, computer science, the ethics of data science and privacy and security will come together in the Institute to spearhead research into data ethics, with the goal to answer some of the challenges this paper outlines.”
For more information please contact:
The Alan Turing Institute:
Sophie McIvor, Head of Communications, firstname.lastname@example.org, 020 3862 3334
The Oxford Internet Institute:
David Sutcliffe, email@example.com
Notes to Editors
- Read the special issue of Phil Trans A on ‘The ethical impact of data science’ compiled and edited by Mariarosaria Taddeo and Luciano Floridi, published online on 14 November 2016, with the print issue to follow on 28 December 2016
- This research was generated as a result of this workshop which took place in 2015 at The Alan Turing Institute. https://www.turing.ac.uk/events/the-ethics-of-data-science-the-landscape-for-the-alan-turing-institute/