"2026 will mark the rise of algorithmic witnessing — a movement that uses AI not to replace journalists, but to extend the reach of the communities they serve."
AI Safety Is a Narrative Problem · Special Issue 5: Grappling With the Generative AI Revolution
This op-ed explores power and narrative dynamics around AI. Drawing on pop-culture references, the professional experiences of the author and examples from 2023’s “Great AI Safety Hype Roadshow,” this piece draws on the literary criticism technique of practical criticism to consider how speeches and announcements from both Silicon Valley executives and research scientists to interrogate the media-friendly nature of p(doom) discourse—which focuses on the existential risks of AI (PauseAI, 2023)—and its likely consequences. The complexities of AI and its numerous social impacts can be difficult for even the most expert analyst to unpack. In spite of this, the potential of “existential threats” has successfully cut through to become a mainstay of mainstream media coverage over the last year. This piece will make the case that this is an effective narrative conceit that has achieved a number of ends that traditional science communication tends to find difficult, if not impossible, to achieve. Firstly, it is easy to understand. Simplification of this nature—that removes jargon and complexity and focuses on a single outcome—is much easier to fit on a TV rolling news ticker or on the cover of a tabloid newspaper than more well-balanced, representative opinions. Secondly, it inherits prior assumptions from well-known dramatic forms. P(doom) plays to stories familiar from Greek tragedy through to Marvel movies, in which lone male heroes battle ineluctable forces. Thirdly, it is imbued with urgency and so becomes difficult to ignore.
The Scaling Era: An Oral History of AI, 2019–2025
An inside view of the AI revolution, from the people and companies making it happen.
The Scaling Era: An Oral History of AI, 2019–2025
An inside view of the AI revolution, from the people an…
Copy of Digital Masquerade
The Digital Masquerade: Unmasking AI’s Phantom Journalists By Tony Eastin and Sandeep Abraham, CAMS
Refusing to accept an AI-poisoned future of journalism
Humans, however flawed, are
What the Anthropic fight says about AI regulation
Fables of the deconstruction of American power
NewsGuild president writes to ProPublica management: Get serious on AI — ProPublica Guild
Artificial intelligence is guaranteed to shake up journalism in varied and unexpected ways. This could be a moment in which experienced journalists leverage a powerful new tool to produce even bigger and better investigations. Or it could be one in which management pivots to yet another new technolo
An AI Upheaval Is Coming for Media. This Journalist Is Already All In.
AI-assisted stories accounted for nearly 20% of Fortune’s web traffic in the second half of 2025. Most are written by Nick Lichtenberg.
Field Theory: AI as Social Science Question, Object & Tool
Uses of advanced artificial intelligence are changing how societies organize labor, govern, produce knowledge, and make meaning. In light of these developments, this essay argues that AI models, tools, and systems pose three interrelated imperatives for social science: they demand renewed attention to social theories of how technology, human experience, and social order are entangled; they require study as objects of inquiry in their own right; and they offer capabilities that may transform—or upend—the practice of social investigation itself. From Weber’s analysis of rationalization to Du Bois’s study of technology and inequality to contemporary scholarship on algorithmic governance, the essay examines what social science distinctively offers: the capacity to historicize the apparently unprecedented, to trace connections across scales, and to center those most affected by technological change. It identifies how algorithmic systems are remaking the distribution of opportunity and risk as a central task of social inquiry and asks what futures social science might help bring into being.
Anthropic's Mythos is a wake up call, but experts say the era of AI-driven hacking is already here | Fortune
Anthropic is limiting access to Mythos, but experts say similar capabilities are already in reach.
New_ Public | After the Feed
What happens after the social media feed? A presentation on the future of conversation, community, and social connection, and how AI will affect the everyday lives of billions.
State of AI 2026 | The Industry-Defining Report
Explore how AI is shaping the digital economy in 2026, with 80+ pages of data on ad spend, app downloads, web behavior, user demographics, and so much more.
AI Policy • States Newsroom
AI Policy States Newsroom is, above all, dedicated to journalism practiced by people. We believe in the power of having on-the-ground reporters covering our communities with the finesse and nuance that only human interaction can produce. We also recognize the power and potential of generative AI. We are open to the responsible and transparent use […]
I‘m far from an AI doomer, but it is amazing how many serious voices — on LinkedIn, no less! — are sharing stories about how AI slop is quickly becoming one of the top problems they see in academic writing and research “AI will 10x our research!” doesn’t seem to be surviving encounters with reality
I‘m far from an AI doomer, but it is amazing how many serious voices — on LinkedIn, no less! — are sharing stories about how AI slop is quickly becoming one of the top problems they see in academic writing and research “AI will 10x our research!” doesn’t seem to be surviving encounters with reality
