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 researchLisa Messeri & M. J. Crockett  Nature volume 627, pages49–58 (2024)Cite this articlehttps://www.nature.com/articles/s41586-024-07146-0 Hosted on Acast. See acast.com/privacy for more information.

Researcher Shaolei Ren discusses the impact of water in data centers for generative AI, highlighting the environmental concerns and future water demands of AI projects. The conversation explores the need for transparency in water usage reporting by big tech companies and proposes solutions for a more sustainable future for AI.

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 intelligenceStinson, 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 Hosted on Acast. See acast.com/privacy for more information.

Author Matthew Archer discusses the pitfalls of corporate sustainability metrics. They delve into the tension between good intentions and corporate initiatives, exploring the need for transparency in environmental and social impacts. The conversation challenges the status quo of sustainability and advocates for diverse perspectives for social and ecological justice.

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 Processingby Sireesh Gururaja, Amanda Bertsch, Clara Na, David Gray Widder, Emma Strubellhttps://arxiv.org/abs/2310.07715 Hosted on Acast. See acast.com/privacy for more information.

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 adversaryThe artist behind the viral cryptid "Loab" reflects on her critical relationship to AI art toolshttps://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=enInstahttps://www.instagram.com/supercomposite/ Hosted on Acast. See acast.com/privacy for more information.

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 GONIhttps://kyriakigoni.com/ANTHROPOCENE ON HOLDhttps://www.pcai.gr/anthroposcene-on-holdNOT ALLOWED FOR ALGORITHMIC AUDIENCESMarch 23, 2023–April 29, 2023The Breeder Feederhttps://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 Hosted on Acast. See acast.com/privacy for more information.

Anne Pasek, data center researcher and expert in environmentally impactful internet, joins Dr. Mél Hogan to discuss the environmental impact of the internet and the challenges of accessing industry data. They explore the differences between bottom-up and top-down approaches in studying the environmental impact of the digital sector. They also discuss the concept of collective action in pressuring platforms to switch to renewable energy sources and propose a more relational approach to accounting for environmental impact.

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.Profilehttp://tobiasjwilliams.comInstagramhttps://www.instagram.com/getrichnever/ Hosted on Acast. See acast.com/privacy for more information.

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 profilehttps://research.tue.nl/en/persons/irene-a-nietDigital (Un)sustainability - Routledgehttps://crowdusg.net/2022/06/06/digital-unsustainabilities-call-for-chapters/ Hosted on Acast. See acast.com/privacy for more information.