Aug 2026· The International Journal of Press/Politics· 0 citations· 26 references
TL;DR
Within EU governing body texts, the same discursive patterns that map agency and erase the middle ground of debate in AI are found, helping to marginalise alternative perspectives from other stakeholders and prevent nuanced understandings of potential harms.
Abstract
Public debate around AI has been characterised by hegemonic narratives that delineate the scope of the conversation, suppressing different voices and limiting nuanced discussion of the technology’s harms and benefits. Scholars have identified technological or enchanted determinism, the arms race mentality and the utopia versus dystopia debate as key narratives around AI. These ideas saturate the conversation, driven primarily by the tech industry, which positions itself as the (only) expert voice. The industry’s capacity to drive these narratives is facilitated by its established institutional authority and dominant presence in public discourse, as well as the knowledge asymmetry inherent in the proprietary, ‘black-box’ nature of AI systems. Tech firms leverage the technical opacity of AI and their powerful societal position to define the contours of public debate, assigning agency to AI itself and the tech industry; constructing users and civil society as passive observers or recipients; and establishing a frame for debate that focuses on extreme consequences or hyperbolic benefits. This study, conducted early in 2024, investigates the effects of this interpretive frame on the policy choices and communications of the EU AI Act, through a mixed-methods computational and critical discourse analysis. Within EU governing body texts, the same discursive patterns that map agency and erase the middle ground of debate in AI are found, helping to marginalise alternative perspectives from other stakeholders and prevent nuanced understandings of potential harms. In the context of the Act itself, these patterns reverberate in the assignment of agentic roles and the scope of the regulation.
A typology structured along three axes: scale of governance, type of AI, type of AI (robotic, conversational, algorithmic), and narrative role (helper, subject, opponent) is introduced, revealing an overrepresentation of conversational, antagonistic AI at micro and meso scales in fiction whereas participants overrepres...
Lisa Dewulf, Anthony Simonofski, N. B. Rosselló et al.· EGOV-CeDEM-ePart 2026· 0 citations
A coalescent ethics of AI design is developed by bringing three converging bodies of scholarship into productive dialogue: the coalescent agency framework’s functional criteria for preserving human agency in human-AI systems; the enactive artificial intelligence model’s intersectional and gender-inclusive design prescr...
Using the dispute between the U.S. Department of Defense and Anthropic and backlash against OpenAI, it is argued that this framing functions as machinewashing, personalizing accountability while obscuring the defense, cloud, and procurement infrastructures through which universities, publishers, and researchers are alr...
Lorien S. Jordan· Qualitative Inquiry· 0 citations
The paper proposes that conflict over territory and matter is increasingly also conflict over the informational conditions through which societies learn what is happening to them, and closes by considering, and questioning the structural feasibility of, pedagogical and civic responses oriented toward epistemic resilien...
It is argued that social work requires a more nuanced, philosophically informed engagement with AI, one that recognises technology as neither neutral nor inevitable, but as socially shaped, value-laden, and co-constitutive of practice.
This commentary argues that the conditions for sociological analysis of AI technologies have changed. Previously, sociologists understood AI and “intelligence” as bounded systems and, as a consequence, the key question was how machines might mimic human judgment. Today, there is a different problem as AI infrastructure...
Nicholas Gane, Roger Burrows· Sociologica· 1 citation
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