In this episode, Lisa Messeri and M. J. Crockett discuss how scientists are in danger of overlooking AI tools’ limitations, and how science is made stronger by questioning its obsession with objectivity. Recorded April 18, 2024. Released May 27, 2024.

Artificial intelligence and illusions of understanding in scientific research

Lisa Messeri & M. J. Crockett  Nature volume 627, pages49–58 (2024)Cite this article

https://www.nature.com/articles/s41586-024-07146-0

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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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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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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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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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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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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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Teaching in times of generative AI is weird, and sometimes wonderful. Tobias Williams and I discuss what it means to make art and teach art at this juncture and the conflicted feelings that emerge from resisting with the tools of creation. Recorded Oct 10, 2023. Released Dec 25, 2023.

Profile

http://tobiasjwilliams.com

Instagram

https://www.instagram.com/getrichnever/

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Irene Niet and I have a conversation about how researchers might consider the environmental impacts of AI in relation to their social consequences, and in relation to their impacts on democracy. Recorded Oct 16, 2023. Released Dec 11, 2023.

Research profile

https://research.tue.nl/en/persons/irene-a-niet

Digital (Un)sustainability - Routledge

https://crowdusg.net/2022/06/06/digital-unsustainabilities-call-for-chapters/

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