Editorial AI that turns thousands of individual voices into a navigable atlas of topics, claims and quotes, grounded back to the participants who said them.
The Art of Broad Listening
To revitalize democracy in the age of AI, we must pivot from one-way broadcasting to dynamic broad listening. Innovators in Taiwan and Japan are leading the way.
Generative AI for Pro-Democracy Platforms · From Novel Chemicals to Opera
Online discourse faces challenges in facilitating substantive and productive political conversations. Recent technologies have explored the potential of generative AI to promote civil discourse, encourage the development of mutual understanding in a discussion, produce . . .
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 […]
Five Dimensions of Scaling Democratic Deliberation: With and Beyond AI
DemocracyNext's new paper on Five dimensions of scaling democratic deliberation: With and beyond AI
One year on: The momentum behind Jigsaw’s Sensemaking AI
How our suite of AI tools is helping public leaders bridge the gap between individual voices and concrete policy decisions
Democracy Needs AI That Listens
From Taiwan's deliberative experiments to our own AI policy - featuring jdd-kami, the Civic AI that fits in a carry-on
Ali Alkhatib: Defining AI
The main issue I have with a lot of work that tries to define AI is that the criteria they use to draw boundaries often turn out to be functionally useless for my needs; these definitions lead us to weird places, letting scholars fixate on strange, unworkable frameworks. Those pedantic fixations don’t really benefit the organizers, activists, regular people who are getting crushed by the systems they’re trying to work against. So I’m going to try to unpack how I think about AI; how I trace the boundaries of the term in a way that’s as useful as possible for me and my needs; and how I would encourage you to scope or define ideas that are important to your work.
Ultra-Processed Information: AI and the Coming Deluge of Noise | Frankly 128
The Published Voice: Whose Voice Are We Really Reading? - The Scholarly Kitchen
What happens then to “author voice,” which has always been an important consideration to authors and reviewers alike, if AI is helping researchers with their writing?
Is there something it is like to be an AI?
Posted on Wednesday 2 Jul 2025. 1,593 words, 6 links. By Matt Webb.
People are getting their news from AI – and it’s altering their views
Even when information is factually accurate, how it’s presented can introduce subtle biases. As large language models increasingly bring people the news, this bias is a looming problem.
People are getting their news from AI – and it’s altering their views
Even when information is factually accurate, how it’s presented can introduce subtle biases. As large language models increasingly bring people the news, this bias is a looming problem.
Characterizing Agentic Flooding of Government Services
AI agents are making it easier for the public to interact with government, such as by helping them apply for benefits, understand complex policies, and make their opinions heard. Although...
Sensemaking AI | Jigsaw
Sensemaking is a suite of AI-powered tools designed to help public leaders understand public opinion quickly. By combining AI interviewing with automated reporting, we bridge the gap between individual voices and actionable policy insights.
