Access the full text.
Sign up today, get DeepDyve free for 14 days.
K. Weick (1995)
What Theory Is Not, Theorizing IsAdministrative Science Quarterly, 40
Tarleton Gillespie, P. Boczkowski (2013)
The Relevance of Algorithms
Emelie Engström, P. Runeson (2011)
Software product line testing - A systematic mapping studyInf. Softw. Technol., 53
(2019)
Centre for data ethics and innovation consultation
L. Floridi (2012)
Big Data and Their Epistemological ChallengePhilosophy & Technology, 25
M. Otterlo (2011)
AMachine Learning View on Profiling
Malte Ziewitz (2016)
Governing AlgorithmsScience, Technology, & Human Values, 41
(2018)
Industrial strategy: building a Britain fit for the future
G. Walia, Jeffrey Carver (2009)
A systematic literature review to identify and classify software requirement errorsInf. Softw. Technol., 51
L. Andrews (2018)
Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data’Public Administration
(2018)
Revealed: 50 million Facebook profiles harvested for Cambridge analytica in major data breach
K. Yeung (2016)
‘Hypernudge’: Big Data as a mode of regulation by designInformation, Communication & Society, 20
S. Gregor (2006)
The Nature of Theory in Information SystemsMIS Q., 30
K. Petersen, R. Feldt, Shahid Mujtaba, Michael Mattsson (2008)
Systematic Mapping Studies in Software Engineering
M. Smith (2017)
How left or right-wing are the UK’s newspapers?
(2017)
Close reading: the signature method of narrative medicine
Corinne Cath (2018)
Governing artificial intelligence: ethical, legal and technical opportunities and challengesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376
I. Bogost (2015)
The cathedral of computation
N. Diakopoulos (2013)
Algorithmic accountability reporting: on the investigation of black boxes. A tow/knight brief. Tow center for digital journalism, Columbia journalism school
Joerg Evermann, R. Mistry (2008)
System Analysis as Scientific Inquiry
Vidushi Marda (2018)
Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-makingPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376
R. Pereira, M. Baranauskas, Kecheng Liu (2018)
An Essay on Human Values in HCIJournal on Interactive Systems
(2017)
Data management and use: Governance in the 21st century – a British academy and royal society project | royal society
K. Petersen, S. Vakkalanka, Ludwik Kuzniarz (2015)
Guidelines for conducting systematic mapping studies in software engineering: An updateInf. Softw. Technol., 64
B. Mittelstadt, P. Allo, M. Taddeo, Sandra Wachter, L. Floridi (2016)
The ethics of algorithms: Mapping the debateBig Data & Society, 3
(1992)
Conceptual modeling and Telos
(2019)
The alan turing institute
B. Kitchenham (2007)
Guidelines for performing systematic literature reviews in software engineeringTechnical Report, Ver. 2.3 EBSE Technical Report, 5
Rob Kitchin (2014)
Thinking critically about and researching algorithmsInformation, Communication & Society, 20
J. Morley, L. Floridi, Libby Kinsey, Anat Elhalal (2019)
From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into PracticesArXiv, abs/1905.06876
C. Vreese (2005)
News framing: Theory and typologyInformation Design Journal, 13
R. Gilbert, R. Pearson (2018)
Don’t trust algorithms to predict child abuse risk
J. Hoven, Emma Rooksby (2008)
Distributive justice and the value of information: A (broadly) Rawlsian approach
H. Warrell (2018)
Just the job: how AI is helping build a better life for refugees
B. Barn, R. Barn, Franco Raimondi (2018)
The BBC Broadcast of ‘India’s Daughter’: An Examination of the Interactions between Mainstream Media and Social Media
I. Bartoletti (2018)
Women must act now, or male-designed robots will take over our lives
P. Lewis (2018)
I was shocked it was so easy’: meet the professor who says facial recognition can tell if you’re gay
N. Newman, W. Dutton, G. Blank (2012)
Social Media in the Changing Ecology of News: The Fourth and Fifth Estate in Britain, 7
Tassio Vale, I. Crnkovic, E. Almeida, P. Neto, Y. Cavalcanti, S. Meira (2016)
Twenty-eight years of component-based software engineeringJ. Syst. Softw., 111
Tal Zarsky (2016)
The Trouble with Algorithmic DecisionsScience, Technology, & Human Values, 41
(2018)
AI in the UK: ready, willing and able?
Algorithms are in the mainstream media news on an almost daily basis. Their context is invariably artificial intelligence (AI) and machine learning decision-making. In media articles, algorithms are described as powerful, autonomous actors that have a capability of producing actions that have consequences. Despite a tendency for deification, the prevailing critique of algorithms focuses on ethical concerns raised by decisions resulting from algorithmic processing. However, the purpose of this paper is to propose that the ethical concerns discussed are limited in scope and suggest that it is not clear what concerns dominate the debate.Design/methodology/approachThe paper uses a systematic mapping study approach to review articles appearing in leading UK national papers from the perspective of the ethical concerns over a period of one year. The articles are categorised using a widely cited framework detailing a taxonomy of ethical concerns. The UK context is important because of UK public policy initiatives around AI.FindingsThe research presented in this paper contributes the first systematic mapping study of articles appearing in leading UK national papers from the perspective of widely accepted ethical concerns such as inscrutable evidence, misguided evidence, unfair outcomes and transformative effects.Originality/valueThe research presented in this paper contributes the first systematic mapping study of articles appearing in leading UK national papers from the perspective of the ethical concerns. The UK context is important because of UK public policy initiatives around AI. To review the media content from the perspective of ethical concerns, this paper uses the synthesised conceptual map of ethical concerns developed by Mittelstad et al. Given the dominance of that framework, this paper’s contribution is also an important instantiation and experimental validation of using that conceptual map.
Journal of Information Communication and Ethics in Society – Emerald Publishing
Published: Mar 3, 2020
Keywords: Ethics; Governance; Bias; Algorithms; Artificial intelligence; Machine learning
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.