Humanist Discussion Group

Humanist Archives: Oct. 22, 2024, 7:41 a.m. Humanist 38.197 - evidence of a troubling AI?

				
              Humanist Discussion Group, Vol. 38, No. 197.
        Department of Digital Humanities, University of Cologne
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        Date: 2024-10-22 05:44:17+00:00
        From: Joanna Zylinska <jo.zylinska@gmail.com>
        Subject: Troubling AI: a call for screenshots

Dear All,

A group of us from King's College London, Sciences Po and the Public
Data Lab are working on this collective project on visually screenshotting 
the weirdness of AI. Please see the call below. We hope you will consider
sending us something – and help us spread the word.

Best,

Joanna Zylinska / Tommy Shaffer Shane / Axel Meunier / Jonathan W. Y. Gray

**************************************************************

troubling AI: a call for screenshots 📸

    How can screenshots trouble our understanding of AI?

    This "call for screenshots" invites you to explore this question by
    sharing a screenshot that you have created, or that someone has shared
    with you, of an interaction with AI that you find troubling, with a
    short statement on your interpretation of the image and circumstances
    of how you got it.

    The screenshot is perhaps one of today’s most familiar and accessible
    modes of data capture. With regard to Al, screenshots can capture
    moments when situational, temporary and emergent aspects of
    interactions are foregrounded over behavioural patterning. They also
    have a ‘social life’: we share them with each other with various social
    and political intentions and commitments.

    Screenshots have accordingly become a prominent method for documenting
    and sharing AI’s injustices and other AI troubles – from [1]researchers
    studying racist search results to [2]customers capturing swearing
    chatbots, from [3]artists exploring algorithmic culture to [4]social
    media users publicising bias.

    With this call, we are aiming to build a collective picture of AI’s
    weirdness, strangeness and uncanniness, and how screenshotting can open
    up possibilities for collectivising troubles and concerns about AI.

    This call invites screenshots of interactions with AI inspired by these
    examples and inquiries, accompanied by a few words about what is
    troubling for you about those interactions. You are invited to
    interpret this call in your own way: we want to know what you perceive
    to be a ‘troubling’ screenshot and why.

    Please send us mobile phone screenshots, laptop or desktop screen
    captures, or other forms of grabbing content from a screen, including
    videos or other types of screen recordings, through the form below
    (which can also be found [5]here) by 15th November 2024.

    Your images will be featured in an online publication and workshop
    (with your permission and appropriate credit), co-organised by the
    [6]Digital Futures Institute's [7]Centre for Digital Culture and
    [8]Centre for Attention Studies at King's College London, the
    [9]médialab at Sciences Po, Paris and the [10]Public Data Lab.



--
Joanna Zylinska
Professor of Media Philosophy + Critical Digital Practice
Director (Interim) of the [11]Centre for Attention Studies
King's College London
Department of Digital Humanities

NEW BOOK: [12]The Perception Machine: Our Photographic Future between
the Eye an
d AI (MIT Press, open access)

NEW ARTICLE: [13]Diffused Seeing: The Epistemological Challenge of
Generative AI
  (Media Theory, open access)

[14]Website
[15]IG research notebook

References

    1. https://nyupress.org/9781479837243/algorithms-of-oppression/
    2. https://www.bbc.co.uk/news/technology-68025677
    3.
https://networkcultures.org/blog/publication/prtscn-the-lazy-art-of-screenshot/
    4. https://journals.sagepub.com/doi/10.1177/20539517231215360
    5. https://troubling-ai.glitch.me/
    6. https://www.kcl.ac.uk/digital-futures
    7. https://www.kcl.ac.uk/research/cdc
    8. https://www.kcl.ac.uk/research/centre-attention-studies
    9. https://medialab.sciencespo.fr/
   10. https://publicdatalab.org/
   11. https://www.kcl.ac.uk/research/centre-attention-studies
   12. https://mitpress.mit.edu/9780262546836/the-perception-machine/
   13.
https://journalcontent.mediatheoryjournal.org/index.php/mt/article/view/1075/684
   14. http://www.joannazylinska.net/
   15. https://www.instagram.com/joanna.zylinska/
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