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The growing ubiquity of algorithms in society: implications, impacts and innovations

Olhede, SC; Wolfe, PJ; (2018) The growing ubiquity of algorithms in society: implications, impacts and innovations. Philosophical Transactions of The Royal Society A: Mathematical, Physical and Engineering Sciences , 376 (2128) pp. 1-15. 10.1098/rsta.2017.0364. Green open access

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Abstract

The growing ubiquity of algorithms in society raises a number of fundamental questions concerning governance of data, transparency of algorithms, legal and ethical frameworks for automated algorithmic decision-making and the societal impacts of algorithmic automation itself. This article, an introduction to the discussion meeting issue of the same title, gives an overview of current challenges and opportunities in these areas, through which accelerated technological progress leads to rapid and often unforeseen practical consequences. These consequences—ranging from the potential benefits to human health to unexpected impacts on civil society—are summarized here, and discussed in depth by other contributors to the discussion meeting issue. This article is part of a discussion meeting issue ‘The growing ubiquity of algorithms in society: implications, impacts and innovations'.

Type: Article
Title: The growing ubiquity of algorithms in society: implications, impacts and innovations
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rsta.2017.0364
Publisher version: https://doi.org/10.1098/rsta.2017.0364
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, accountability, data science, ethics, governance, privacy, transparency, PREDICTION, RISE, BIAS
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: http://discovery.ucl.ac.uk/id/eprint/10054796
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