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Journal of the Association for Information Science and Technology
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2017
Data sources: DBLP
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AI Anxiety

Authors: Johnson, Deborah G.; Verdicchio, Mario;
Abstract

Recently a number of well‐known public figures have expressed concern about the future development of artificial intelligence (AI), by noting that AI could get out of control and affect human beings and society in disastrous ways. Many of these cautionary notes are alarmist and unrealistic, and while there has been some pushback on these concerns, the deep flaws in the thinking that leads to them have not been called out. Much of the fear and trepidation is based on misunderstanding and confusion about what AI is and can ever be. In this work we identify 3 factors that contribute to this “AI anxiety”: an exclusive focus on AI programs that leaves humans out of the picture, confusion about autonomy in computational entities and in humans, and an inaccurate conception of technological development. With this analysis we argue that there are good reasons for anxiety about AI but not for the reasons typically given by AI alarmists.

Country
Italy
Keywords

Artificial Intelligence; Philosophy of Technology; Information Systems; Computer Networks and Communications; Information Systems and Management;

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    302
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
302
Top 0.1%
Top 1%
Top 10%
Green
bronze