Please circulate widely and consider applying. CFP: (un)Stable Diffusions: General-purpose artificial intelligence’s publicities, publics, and publicizations Edited by Fenwick McKelvey, Joanna Redden, Jonathan Roberge, and Luke Stark (names in alphabetical order) To be published in the open access Journal of Digital Social Research <https://www.jdsr.io/>. Please submit your abstracts here: https://forms.gle/hWQxvuRTWoFhVs3W6 The recent release of so-called “general-purpose artificial intelligence” (GPAI) systems have prompted a public panic that AI-generated fiction is now indistinguishable from fact. General-purpose AI refers to systems “intended by the provider to perform generally applicable functions such as image and speech recognition, audio and video generation, pattern detection, question answering, translation and others” (Artificial Intelligence Act, Council of the European Union, Procedure File: 2021/0106(COD), Title 1, Article 3(1b)). Contemporary technologies referred to as GPAI include OpenAI’s ChatGPT as well as numerous text-to-image generation software such as DALL-E and Stable Diffusion. GPAI systems are already being deployed to support and entrench existing asymmetries of power and wealth. For instance, the online news outlet CNET recently disclosed that it has been publishing stories written by an AI and edited by humans for months (Main, 2023). The current concern over ChatGPT is an important moment in AI’s publicity and publicization (Hansen, 2021), or what Noortje Marres refers to as “material things” acting as “crucial tools or props for the performance of public involvement in an issue” (Marres, 2010, p. 179). Amidst countless opinion pieces and hot takes discussing GPAI, this special issue details how scandal, silence, and hype operate to promote and publicize AI. We seek interventions that question AI’s publicity and promotion as well as new strategies of engagement with AI’s powerful social and political influence. Concern over Generative AI, we argue, is limited by publicity around these systems that has been framed by hype, silence, or scandal (Brennen, 2018, 2018; Sun et al., 2020). Publicity refers to the relations between affected peoples and matters of shared concerns (Barney, 2014; Marres, 2015, 2018). Historically, these relations have been mediated by the press (Schudson, 2008), but GPAI’s coincides with uncertainty about journalism’s status and a rise of direct, one-step flow like effects of either citizen-to-citizen or, in the case of ChatGPT, a direct link (Bennett & Manheim, 2006). Scholars have observed that publicity around AI follows several distinct patterns: 1. Hype (Ananny & Finn, 2020; Broussard et al., 2019; Mosco, 2004). This discourse is prominent. Concepts like the fourth industrial revolution and disruption function as self-fulfilling, with the consequence that technology arrives always as good news. The launch of ChatGPT is a hallmark of this hyped mode, fitting into a well-worn mode of a “normative framework of publicity [that is] drained of its critical value, and convert[ed] from a democratic asset to a democratic liability” (Barney, 2008, p. 92). Opening AI to the public, no matter the consequences for society, as in the case of ChatGPT, is portrayed as a good even as this publicization shifts focus to acceptance and inevitability. 2. Silence. If not positive, AI coverage is marked by gaps and aporias, or in effect, closures when aspects of AI remain too uncontroversial to report as well as larger work into the logics of AI imaginaries (Bareis & Katzenbach, 2021). The result is that AI-related issues seldom make the political information cycle, as in the case of ChatGPT’s potential violations of privacy and copyright law, discussed below (Chadwick, 2013). 3. Scandals – or what we refer to as proofs of social transgressions – are a pronounced feature of contemporary technological coverage and governance (Bosetta, 2020; Lull & Hinerman, 1998; McKelvey et al., 2018; Trottier, 2017). Scandals, which we stress do not necessity involve opportunities for public engagement nor democratic praxis, result from a mutually reinforcing relationship between newsrooms looking for easy, high-engagement stories (Blanchett et al., 2022; Cohen, 2015; Dodds et al., 2023) and the affordances of social media, largely functioning as a distraction from other tasks (Hall et al., 2018). 4. Inevitability. AI discourses are dominated by technology firms, government representatives, AI investors, global management consultancies, and think tanks. These voices present a faith in data driven systems to address social problems while also increasing efficiency and productivity (Bourne 2019, Beer 2019). Such discourses are used to reinforce the idea that the increasing use of AI applications across all spheres of life is inevitable, while sidelining or ignoring meaningful engagement with the ways these applications cause harm (Walker 2022). Our special issue seeks interventions focused on: 1. Critical and comparative studies of AI’s publicities with regards to the launch and hype of AI. We particularly welcome papers that focus on cases outside the Global North; 2. Ethnographic, discursive, or engaged research with AI’s public such as AutoGPT, HustleGPT, or other publics forming around the use, misuse or resistance to GPAI; 3. Interventions or reflections on critical practices, such as community engagement and mobilization, futures literacy, or capacity building, for better publicizations of AI de-centering the strategic futuring employed by large technology firms. Please submit an extended abstract (1000 words) by 1 August 2023. Accepted full papers due 1 December 2023. Planned publication Spring 2024. https://forms.gle/hWQxvuRTWoFhVs3W6