AI as super-controversy: Eliciting AI and society controversies with an extended expert community in the UK
SAGE Journal » Big Data & Society
by Noortje Marres, Michael Castelle, Beatrice Gobbo, Chiara Poletti, James Tripp
1M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. Following the release of large language models in the late 2010s, the backers of this new type of artificial intelligence (AI) publicly affirmed that the technology is controversial and harmful to society. This situation sets contemporary AI apart from 20th-century controversies about technnoscience, such as nuclear power and genetically modified (GM) foods, and disrupts established assumptions concerning public controversies as occasions for technological democracy. In particular, it challenges the idea that such controversies enable ..read more
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The valorization of interactions. Gift exchange, power and value creation on digital platforms
SAGE Journal » Big Data & Society
by Oliver Nachtwey, Simon Schaupp
1M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. Technology companies are often worth billions, but they still must make their money through advertising. The research literature on the value creation of data-driven platform companies often refers to the expropriation of data or the exploitation of users. This article proposes a relational approach to the understanding of value creation on digital platforms such as social media channels or free internet services. To this end, it combines Marxian and anthropological value theory. Accordingly, the interactions of platform users are und ..read more
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Justitia ex machina: The impact of an AI system on legal decision-making and discretionary authority
SAGE Journal » Big Data & Society
by Daan Kolkman, Floris Bex, Nitin Narayan, Manuella van der Put
1M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. Governments increasingly use algorithms to inform or supplant decision-making. Artificial Intelligence systems in particular are considered objective, consistent and efficient decision-makers, but have also been shown to be fallible. Furthermore, the adoption of artificial intelligence (AI) in government is fraught with challenges which are only partly understood and rarely studied in practice. In this paper, we draw on science and technology studies and human computer interaction and report on a critical case study of the development ..read more
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Epistemologies of missing data: COVID dashboard builders and the production and maintenance of marginalized COVID data
SAGE Journal » Big Data & Society
by Youngrim Kim, Megan Finn, Amelia Acker, Bidisha Chaudhuri, Stacey Wedlake, Ryan Ellis, Janaki Srinivasan
1M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. During COVID-19, countless dashboards served as the central media for people to learn critical information about the pandemic. Varied actors, including news organizations, government agencies, universities, and nongovernmental organizations, created and maintained these dashboards, through the onerous labor of collecting, categorizing, and circulating COVID data. This study uncovers different forms of labor and data practices—the work of “COVID data builders”—behind the construction of these dashboards based on in-depth interviews wit ..read more
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Yellow Techno-Peril: The ‘Clash of Civilizations’ and anti-Chinese racial rhetoric in the US–China AI arms race
SAGE Journal » Big Data & Society
by Kerry McInerney
1M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. The rhetoric of an ‘AI arms race’ between the United States and China has become increasingly prominent over the past 5 years, despite warnings that it is unnecessarily polarising and undermines safe and ethical artificial intelligence (AI) development. However, existing critiques of the AI arms race narrative engage only sparingly with the racialised dimensions of this discourse. In this article, I draw on the rich theoretical insights of Asian American and Asian diaspora studies to show how the AI arms race narrative is deeply racia ..read more
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Data as environment, environment as data: One Health in collaborative data-intensive science
SAGE Journal » Big Data & Society
by Lucilla Barchetta, Roberta Raffaetà
1M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. This article analyses the operationalization of One Health in the context of data-intensive science in response to the COVID-19 outbreak. Building on ethnographic field research and revisiting the lives of a knowledge infrastructure of interdisciplinary collaboration set up online in the early phase of the COVID-19 health emergency, the article develops the notion of “data as environment.” This environment is a contact structure that entangles knowledge systems, subjects, processing tools, and mediated bio-socialities in processes of ..read more
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The trustification of AI. Disclosing the bridging pillars that tie trust and AI together
SAGE Journal » Big Data & Society
by Jascha Bareis
2M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. Trustworthy artificial intelligence (TAI) is trending high on the political agenda. However, what is actually implied when talking about TAI, and why it is so difficult to achieve, remains insufficiently understood by both academic discourse and current AI policy frameworks. This paper offers an analytical scheme with four different dimensions that constitute TAI: a) A user perspective of AI as a quasi-other; b) AI's embedding in a network of actors from programmers to platform gatekeepers; c) The regulatory role of governance in brid ..read more
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Generative AI and the politics of visibility
SAGE Journal » Big Data & Society
by Tarleton Gillespie
2M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. Proponents of generative AI tools claim they will supplement, even replace, the work of cultural production. This raises questions about the politics of visibility: what kinds of stories do these tools tend to generate, and what do they generally not? Do these tools match the kind of diversity of representation that marginalized populations and non-normative communities have fought to secure in publishing and broadcast media? I tested three widely available generative AI tools with prompts designed to reveal these normative assumption ..read more
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Is it about “them”? leveraging big data research to understand anti-immigrant discourse
SAGE Journal » Big Data & Society
by Claire Stravato Emes
2M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. The paper explores the potential of big data analytics for researching anti-immigrant discourse. We emphasize contextualization as an essential element of research and follow a hybrid approach inspired by best practices of computational content analysis, combining human hermeneutic expertise with supervised machine learning to classify a corpus of comments in online news communities in Singapore over 6 months (N = 399,225). The paper highlights how big data analytics can provide a nuanced and critical apprehension of immigrant-related ..read more
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Reclaiming artificial intelligence accounts: A plea for a participatory turn in artificial intelligence inquiries
SAGE Journal » Big Data & Society
by Pauline Gourlet, Donato Ricci, Maxime Crépel
2M ago
Big Data &Society, Volume 11, Issue 2, April-June 2024. How to participate in artificial intelligence otherwise? Put simply, when it comes to technological developments, participation is either understood as public debates with non-expert voices to anticipate risks and potential harms, or as a way to better design technical systems by involving diverse stakeholders in the design process. We advocate for a third path that considers participation as crucial to problematise what is at stake and to get a grip on the situated developments of artificial intelligence technologies.This study addre ..read more
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