36 episodes

Hi everyone, my name is Mél Hogan and I’m a critical media studies scholar based in Canada. I’m working on a project called The Data Fix through a series of conversations with scholars, thinkers and feelers. Together we explore the significance of living in a world of data, and especially the growing trend of “digital humans” in the form of chatbots, holograms, deepfakes, ai images and videos, and even tech that revives the dead. The conversations are minimally edited, and serve as an archive of the collective thinking and feeling that is going into the Data Fix project. Please see thedatafix.net for more details and show notes. Thank you so much for listening. 
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The Data Fix with Dr. Mél Hogan Mél Hogan

    • Education

Hi everyone, my name is Mél Hogan and I’m a critical media studies scholar based in Canada. I’m working on a project called The Data Fix through a series of conversations with scholars, thinkers and feelers. Together we explore the significance of living in a world of data, and especially the growing trend of “digital humans” in the form of chatbots, holograms, deepfakes, ai images and videos, and even tech that revives the dead. The conversations are minimally edited, and serve as an archive of the collective thinking and feeling that is going into the Data Fix project. Please see thedatafix.net for more details and show notes. Thank you so much for listening. 
Hosted on Acast. See acast.com/privacy for more information.

    Diversity, with Catherine Stinson and Sophie Vlaad

    Diversity, with Catherine Stinson and Sophie Vlaad

    With Catherine Stinson and Sophie Vlaad, we discuss what diversity means in the context of AI -- its applications, conceptualizations, teams, institutions, networks, members, and ideals. As they ask in a recent article, "diversity" is often proposed as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by "diversity" and how it can it solve those problems? Recorded March 22, 2024. Released April 22, 2024.
    A feeling for the algorithm: Diversity, expertise, and artificial intelligence
    Stinson, C., & Vlaad, S. (2024). A feeling for the algorithm: Diversity, expertise, and artificial intelligence. Big Data & Society, 11(1). https://doi.org/10.1177/20539517231224247

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    • 53 min
    Unsustainable, with Matthew Archer

    Unsustainable, with Matthew Archer

    Listen to my conversation with Matthew Archer, author of Unsustainable: Measurement, Reporting, and the Limits of Corporate Sustainability. In his beautifully written book, Matthew makes a case for being highly skeptical of corporate sustainability initiatives, especially as they've become increasingly grounded in metrics of all kinds that measure just and exactly what the companies themselves determine to be worthy of measuring. Framing sustainability as a technical issue has been and continues to be a failure, and so we ask: what it might mean to take this criticism seriously? Recorded Feb 2, 2024. Released Apr 8, 2024.
    Unsustainable: Measurement, Reporting, and the Limits of Corporate Sustainability (Feb 2024, Published by NYU Press)
    https://nyupress.org/9781479822027/unsustainable/

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    • 47 min
    Change, with Sireesh Gururaja, Amanda Bertsch and Clara Na

    Change, with Sireesh Gururaja, Amanda Bertsch and Clara Na

    Together, Sireesh Gururaja, Amanda Bertsch and Clara Na explain the paradigm shifts in Natural Language Processing that they've noticed themselves, observed in the community, and documented through a series of interviews with NLP researchers. They share their hopes for the NLP field -- as less focused on benchmarks, and as more self-reflexive and ethically-driven -- moving forward. Recorded Jan 19, 2024. Released March 25, 2024.
    To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing
    by Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubell
    https://arxiv.org/abs/2310.07715

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    • 1 hr
    Adversarial, with Steph Maj Swanson

    Adversarial, with Steph Maj Swanson

    Steph Maj Swanson, aka Supercomposite and I discuss the spooky Loab phenomenon, generative adversarial network, negative prompts and the demons (maybe?) lurking in large datasets. Recorded Jan 19, 2024. Released March 11, 2024.
    What I Learned from Loab: AI as a creative adversary
    The artist behind the viral cryptid "Loab" reflects on her critical relationship to AI art tools
    https://media.ccc.de/v/37c3-12052-what_i_learned_from_loab_ai_as_a_creative_adversary 
    Original Twitter thread:
    https://twitter.com/supercomposite/status/1567162288087470081?lang=en
    Insta
    https://www.instagram.com/supercomposite/

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    • 50 min
    Mirrored, with Kyriaki Goni

    Mirrored, with Kyriaki Goni

    Kyriaki Goni - an artist with a background in social and cultural anthropology - and I start our conversation reflecting back on the lockdowns of April 2020 in Athens; what this signified, and how it shaped her art, which ultimately manifested as "The Portal or Let’s Stand Still for the Whales", which was a reflection on the tensions between the darkness of pandemic realities and the quiet restoration of natural things in her surroundings, and beyond. We also talk about "Perfect Love #couplegoals #AIgenerated, 2020,2022", as an exploration of intimacy, doomscrolling and isolation. We finish our conversation on "Not Allowed for Algorithmic Audiences, 2021" which focuses more specifically on 'audio assistant' tech, and the way algorithms pull audio from social media and various corners of the internet to then classify and reorganize the way we're listened to and heard. One of the (MANY) things I love about Kyriaki's work is that it is decidedly not preachy -- instead it holds a mirror to the audience to reflect gently, and in their own time, on the significance of technology in various contexts. Recorded Jan 12, 2024. Released Feb 26, 2024.
    KYRIAKI GONI
    https://kyriakigoni.com/
    ANTHROPOCENE ON HOLD
    https://www.pcai.gr/anthroposcene-on-hold
    NOT ALLOWED FOR ALGORITHMIC AUDIENCES
    March 23, 2023–April 29, 2023
    The Breeder Feeder
    https://thebreedersystem.com/uncategorized/kyriaki-goni_-not-allowed-for-algorithmic-audiences/
    studio international: Kyriaki Goni – interview: ‘For me, technology is an existential discussion’
    https://www.studiointernational.com/index.php/kyriaki-goni-interview-for-me-technology-is-existential-discussion-data-garden-blenheim-walk-gallery-leeds-arts-university

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    • 1 hr
    Efficient, with Anne Pasek

    Efficient, with Anne Pasek

    Most of us researching data centers have come to rely on various figures and stats telling us how environmentally impactful the internet has become: how big is the footprint? how much energy is used? Anne Pasek and I discuss in this episode just how these things get tallied, and by whom, and to what ends. We also discuss what gets omitted in these calculations, and how a "relational footprinting" approach might help us situate our knowledge about this topic. We also briefly talk about open access publishing and the power of zines in particular. Recorded Dec 12, 2023. Released Feb 12, 2024.
    Digital Energetics
    https://meson.press/books/digital-energetics/
    Getting Into Fights with Data Centers (zine)
    https://emmlab.info/Resources_page/Data%20Center%20Fights_digital.pdf
    Pasek, A., Vaughan, H., & Starosielski, N. (2023). The world wide web of carbon: Toward a relational footprinting of information and communications technology’s climate impacts. Big Data & Society, 10(1).


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    • 1 hr 6 min

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