Getting democracy wrong

Recent developments in large language models and computer automated systems more generally (colloquially called ‘artificial intelligence’) have given rise to concerns about potential social risks of AI. Of the numerous industry-driven principles put forth over the past decade to address these conc...

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Main Authors: Gwendolyn Blue, Mél Hogan
Format: Article
Language:English
Published: DIGSUM 2024-12-01
Series:Journal of Digital Social Research
Subjects:
Online Access:https://publicera.kb.se/jdsr/article/view/40477
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author Gwendolyn Blue
Mél Hogan
author_facet Gwendolyn Blue
Mél Hogan
author_sort Gwendolyn Blue
collection DOAJ
description Recent developments in large language models and computer automated systems more generally (colloquially called ‘artificial intelligence’) have given rise to concerns about potential social risks of AI. Of the numerous industry-driven principles put forth over the past decade to address these concerns, the Future of Life Institute’s Asilomar AI principles are particularly noteworthy given the large number of wealthy and powerful signatories. This paper highlights the need for critical examination of the Asilomar AI Principles. The Asilomar model, first developed for biotechnology, is frequently cited as a successful policy approach for promoting expert consensus and containing public controversy. Situating Asilomar AI principles in the context of a broader history of Asilomar approaches illuminates the limitations of scientific and industry self-regulation. The Asilomar AI process shapes AI’s publicity in three interconnected ways: as an agenda-setting manoeuvre to promote longtermist beliefs; as an approach to policy making that restricts public engagement; and as a mechanism to enhance industry control of AI governance.
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institution Kabale University
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spelling doaj-art-6061ec6ad1c648a299e9980c0a1a061f2025-01-02T01:40:08ZengDIGSUMJournal of Digital Social Research2003-19982024-12-016410.33621/jdsr.v6i440477Getting democracy wrongGwendolyn Blue0https://orcid.org/0000-0003-3510-3248Mél Hoganhttps://orcid.org/0000-0003-2786-5998University of Calgary Recent developments in large language models and computer automated systems more generally (colloquially called ‘artificial intelligence’) have given rise to concerns about potential social risks of AI. Of the numerous industry-driven principles put forth over the past decade to address these concerns, the Future of Life Institute’s Asilomar AI principles are particularly noteworthy given the large number of wealthy and powerful signatories. This paper highlights the need for critical examination of the Asilomar AI Principles. The Asilomar model, first developed for biotechnology, is frequently cited as a successful policy approach for promoting expert consensus and containing public controversy. Situating Asilomar AI principles in the context of a broader history of Asilomar approaches illuminates the limitations of scientific and industry self-regulation. The Asilomar AI process shapes AI’s publicity in three interconnected ways: as an agenda-setting manoeuvre to promote longtermist beliefs; as an approach to policy making that restricts public engagement; and as a mechanism to enhance industry control of AI governance. https://publicera.kb.se/jdsr/article/view/40477principlesAsilomargovernanceArtificial intelligencebiotechnologylongtermism
spellingShingle Gwendolyn Blue
Mél Hogan
Getting democracy wrong
Journal of Digital Social Research
principles
Asilomar
governance
Artificial intelligence
biotechnology
longtermism
title Getting democracy wrong
title_full Getting democracy wrong
title_fullStr Getting democracy wrong
title_full_unstemmed Getting democracy wrong
title_short Getting democracy wrong
title_sort getting democracy wrong
topic principles
Asilomar
governance
Artificial intelligence
biotechnology
longtermism
url https://publicera.kb.se/jdsr/article/view/40477
work_keys_str_mv AT gwendolynblue gettingdemocracywrong
AT melhogan gettingdemocracywrong