It is set out how the battle for journalism’s soul is not yet lost in the emergence of a new memorial front of ‘archival journalism’, institutional glitches, and infrastructural exits.
Abstract
Abstract Journalists are mnemonically dispossessed in the age of large language models. To accept News Corp CEO Robert Thomson’s 2026 redefinition of journalism as an ‘input’ alongside semiconductors and datacentres is to deny the human provenance of what it means to make and to consume news. Licensing deals now being signed between major press groups and AI companies enact a transfer of mnemonic sovereignty from journalists as human ‘agents of memory’ (Zelizer, 2008) to the algorithm, to the machine. Generative AI produces an intention economy, restructuring how information flows through society, with each interaction with AI deepening its understanding not just of what you know, but of what you do not yet know to ask (Fang, 2025). This gives AI systems functional agency, anticipating the curiosities it wants us to formulate, generating a ‘past that never existed’. We are at a tipping point in the battle over journalism’s soul in AI’s seizure of human agency in the making of memory, and in how the production of news becomes infrastructure food. Journalists are caught up in the production of content used to feed AI models and systems, which will shape what people are trying to know, rather than their value being derived from the work of journalists as human agents of memory, of having created a past that they have a stake in. We set out how the battle for journalism’s soul is not yet lost in the emergence of a new memorial front of ‘archival journalism’, institutional glitches, and infrastructural exits.
Textual artifacts are sometimes valued not only for the words on the page, but for the human activity involved in producing them. The effort invested in a carefully tailored email can signal genuine interest; composing an apology might involve attending to another person's hurt and deciding how to respond; and requirin...
An ethics of non-agentive AI is sketched: the authors should see these systems as powerful, instrument-like extensions of human cognition, not as knowers in their own right, and design institutions, interfaces and norms of trust accordingly.
Neumann Saskia Janina· Digital Society· 0 citations
Generative AI encodes the majority's way of knowing as the default infrastructure of knowledge itself as the default infrastructure of knowledge itself, and law must learn to govern at that level of model training.
Can interacting with someone from 1930, with no knowledge of what happened after, influence a person's perception of the past? People reason about the present against a picture of the past without observing it. The past is reconstructed from memory and testimony, but this reconstruction has been filtered through everyt...
Hiromu Yakura, Robin Schimmelpfennig, Ezequiel Lopez-Lopez et al.· 0 citations
Comparing AI with animals, aliens, and deities is highlighted, highlighting both the promise and the limits of extending the authors' concepts of mind and meaning beyond the human case.
This article argues that “AI use” is too blunt a category for judging what happens when a student writes a humanities paper with a large language model. Taking the most intensive case, a paper built with AI from research to final review, it follows the changing relation between student, model, sources, and draft. In re...
Joshua Leonardo Lupowitz· Tiempo devorado· 0 citations
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