Public AI over the Internet Archive's Democracy's Library. It reads the Canadian government's own public-health record, cites every answer to the scanned page, and refuses when the record is silent. Open source.
Archive Argues With Itself: a civic memory debugger
Ask Canada's public record: answers from Internet Archive Canada's government publications, every sentence cited to its scanned page, and a plain refusal when the record cannot answer.
Democracy as a Scaled Collective Intelligence Process: Points of Vulnerability and Augmentation
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.
The Archive as a Dataset
Information derived from primary and secondary sources contains bias, and as a corollary, the systems that emerge from that information replicate it. The digital world and AI are no exception. We will convene a conversation between Anisa Abeytia (C& Advisory Board member, AI governance specialist at the UNHCR and the Center for AI and Digital Policy) and Nan Collymore (C& Head of Business Development, writer and curator), on the significance of building digital and analog datasets that make cultural knowledge more accessible, representative, and accountable.
Public AI Inference Utility
A nonprofit, open-source service to make public and sovereign AI models more accessible.
The Uncensored Library – Reporters without borders
I support The Uncensored Library and the fight for press freedom. #TruthFindsAWay
AI News Audit: AI, Canadian Journalism, and Paths for Policy Action — Centre for Media, Technology and Democracy
March 16, 2026 - AI companies built their products using Canadian journalism without permission and without compensation, and are now delivering that journalism to consumers as their own product. Existing copyright and media policy frameworks were not designed to address this. In February and Marc
AI and Doctrinal Collapse
Artificial intelligence runs on data. But the two legal regimes that govern data—information privacy law and copyright law—are under pressure. Formally, each re
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.
Democracy and the Epistemic Commons - The Consilience Project
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A Roadmap to Democratic AI — The Collective Intelligence Project
Our roadmap outlines concrete steps that can be taken in 2024 to build a more democratic AI ecosystem that is adaptive, accountable, processes decentralized information, provides public goods, and safeguards human wellbeing. We describe what the ecosystem could build, research, advocate for, and fun
White Paper on Public AI – Open Future
Today's AI landscape is dominated by a few tech companies. This White Paper presents an alternative: Public AI systems built on transparency, democratic governance, and open access to critical infrastructure.
Creative commons licenses and copyright may not stop academic work being used to train AI - Impact of Social Sciences
Considering the legal standing of creative commons licenses & copyright, Martin Eve suggests legal protections for academic work are unlikely to be forthcoming.
Public Intelligence
Imagine 50 years from now a Public Intelligence that was a distributed, open-source, non-commercial artificial intelligence, operated like the internet, and available to the whole world. This public AI would be a federated system, not owned by any one entity, … Continue reading →
How AI Destroys Institutions
Civic institutions—like the rule of law, higher education, and a free press—are the backbone of democratic life. They are the mechanisms through which complex s
The architecture of the internet creates risks for democracy
Will democracy survive the internet? Do we need to choose between Facebook’s surveillance capitalism or democracy? Layered lines of evidence can inform questions like these. When considered together, the evidence gives rise to a concerning picture, as summarized in a recent report for the European Commission that I co-led.
