Humanist Discussion Group, Vol. 33, No. 307.
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        Date: 2019-10-09 19:35:45+00:00
        From: Colin Shunryu Garvey 
        Subject: CFP: AI and its Discontents

[Please circulate widely, especially to your scientist friends! Very keen
to get contributions from people who've lived through earlier AI booms,
whether as programmer or the programmed...!]


Artificial Intelligence and its Discontents

Call for Papers for a special issue of Interdisciplinary Science Reviews
(https://www.tandfonline.com/loi/yisr20)

Guest Editor: Colin Shunryu Garvey, Fellow, Human-Centered AI Institute,
Stanford University


This is increasingly the Age of AI. Artificial Intelligence, the suite
of technologies that make machines capable of performing tasks
considered "intelligent" when performed by people, is colonizing an
increasing number of domains, from Internet search and social media to
the natural sciences and even criminal sentencing. AI may soon become
ubiquitous, coextensive with civilization itself, a taken-for-granted
feature of modernity like electricity or running water.

But this does not mean that all is well: AI has, and has always had, its
discontents; those who doubt, question, challenge, reject, reform and
otherwise reprise "AI" as it is practiced and promoted. With the hope of
scaffolding deeper understandings of both the epochal transformations
being wrought by AI technologies and the range of responses these
changes, this special issue of Interdisciplinary Science Reviews will
bring together reflections from practitioners, assessments from
scientists in fields transformed by AI, and historically-informed
accounts of AI and its critics, both past and present, in order to
capture something of the significance of this historical moment for
future generations.

A few questions worth pondering might be:

-- Who are AI's discontented and how have they contended with the
technology's advance?

-- How has AI been challenged in areas from scientific knowledge
production to daily life?

-- What is being left out of the increasingly dominant "machine learning"
paradigm, and why?

-- Where is the line drawn between "AI" and everything else, and who
patrols that boundary?

-- Why has criticism regarded differently in AI than in other technosciences?

Contributions can range in length from reflective contributions of only
a few pages to full research articles (maximum of 8000 words including
citations and references, in most cases). The deadline for abstracts is
November 15, 2019. Final papers will be collected January 15, 2020.
The issue will be finalized by mid-March and sent to press for a
projected June 2020 release.

Please contact Colin Shunryu Garvey with any questions or proposals:
shunryu@stanford.edu.




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