Demonstrations of the Potential of AI-based Political Issue Polling
This paper explores the capabilities of artificial intelligence in conducting political issue polling, using LLMs to simulate responses and comparing them to human polling data.
Nathan E. Sanders
Who's accountable for AI usage in digital campaign ads? Right now, no one.
An article for Harvard's Ash center blog about the tangle of US federal agencies failing to enforce regulations relating to AI in election campaigns.
The A.I. Wars Have Three Factions, and They All Crave Power
An article for The New York Times about the emerging factions within the AI community.
AI Could Reshape Climate Communication
An article outlining the possibilities AI provides to enhance public communication about climate change published by Eos Magazine (AGU).
Nervous About ChatGPT? Try ChatGPT With a Hammer
An article for Wired about the then-coming generation of tool-using, agentic AI.
Six ways that AI could change politics
An article for the Technology Review about the variety of ways that AI will change politics writ large.
Can you trust AI? Here's why you shouldn't
An article for The Conversation about how to build AI that is more trustworthy.
AI could shore up democracy – here’s one way
An article for The Conversation about how AI could be used in legislative engagement.
Build AI by the People, for the People
An article for Foreign Policy making the case for Public AI.
Can We Build Trustworthy AI?
An article for Gizmodo about how to live in a world with untrustworthy AI.
Just Wait Until Trump Is a Chatbot
An article for The Atlantic about how political campaigns may begin to use AI chatbots.
How AI could write our laws
An article for the Tech Review about how AI could be used to write legislation.
We Don’t Need to Reinvent our Democracy to Save it from AI
An article for Harvard's Belfer Center blog about how to address AI's coming impacts on democracy.
Estimating the Global Prevalence of Mass Public Shootings
Estimates the global prevalence of mass public shootings using Bayesian modeling.
Machine Learning Featurizations for AI Hacking of Political Systems
Investigates graph and sequence data representations for applying deep learning to predict outcomes in political and legislative systems, advancing the concept of AI hacking. [11, 17, 41]
The Contagion of Mass Shootings: The Interdependence of Large-Scale Massacres and Mass Media Coverage
Examines the interdependence of large-scale massacres and mass media coverage.
Forecasting the Severity of Mass Public Shootings in the United States
Forecasts the future severity of mass public shootings in the U.S. using statistical modeling.
Sewage: An Environmental Justice Tragedy
A blog post for the Mystic River Watershed Association about sewage overflows.
Does Media Coverage of Mass Public Shootings Create a Contagion Effect?
A short review article for Significance Magazine about the contagion effect in mass public shootings.
SuperRAENN: A Semi-supervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium Deep Survey Supernovae
A semi-supervised SN photometric classification pipeline using Pan-STARRS1 data.