Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance

This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which stru...

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Main Authors: Aphra Kerr, Marguerite Barry, John D Kelleher
Format: Article
Language:English
Published: SAGE Publishing 2020-04-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/2053951720915939
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spelling doaj-ff631d9e5db14e36ba65e3982a553a2e2020-11-25T03:24:49ZengSAGE PublishingBig Data & Society2053-95172020-04-01710.1177/2053951720915939Expectations of artificial intelligence and the performativity of ethics: Implications for communication governanceAphra KerrMarguerite BarryJohn D KelleherThis article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence (AI) and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications of our findings for the role of AI in communication governance. We find that, despite societal expectations that we can design ethical AI, and public expectations that developers and governments should share responsibility for the outcomes of AI use, there is a significant divergence between these expectations and the ways in which AI technologies are currently used and governed in large scale communication systems. We conclude that discourses of ‘ethical AI’ are generically performative, but to become more effective we need to acknowledge the limitations of contemporary AI and the requirement for extensive human labour to meet the challenges of communication governance. An effective ethics of AI requires domain appropriate AI tools, updated professional practices, dignified places of work and robust regulatory and accountability frameworks.https://doi.org/10.1177/2053951720915939
collection DOAJ
language English
format Article
sources DOAJ
author Aphra Kerr
Marguerite Barry
John D Kelleher
spellingShingle Aphra Kerr
Marguerite Barry
John D Kelleher
Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
Big Data & Society
author_facet Aphra Kerr
Marguerite Barry
John D Kelleher
author_sort Aphra Kerr
title Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
title_short Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
title_full Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
title_fullStr Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
title_full_unstemmed Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance
title_sort expectations of artificial intelligence and the performativity of ethics: implications for communication governance
publisher SAGE Publishing
series Big Data & Society
issn 2053-9517
publishDate 2020-04-01
description This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence (AI) and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications of our findings for the role of AI in communication governance. We find that, despite societal expectations that we can design ethical AI, and public expectations that developers and governments should share responsibility for the outcomes of AI use, there is a significant divergence between these expectations and the ways in which AI technologies are currently used and governed in large scale communication systems. We conclude that discourses of ‘ethical AI’ are generically performative, but to become more effective we need to acknowledge the limitations of contemporary AI and the requirement for extensive human labour to meet the challenges of communication governance. An effective ethics of AI requires domain appropriate AI tools, updated professional practices, dignified places of work and robust regulatory and accountability frameworks.
url https://doi.org/10.1177/2053951720915939
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