Applications Of Artificial Intelligence Tools To Enhance Legislative Engagement: Case Studies From Make.org And MAPLE
Case studies on using AI for legislative engagement from Make.org and MAPLE.
Case studies on using AI for legislative engagement from Make.org and MAPLE.
A blog post for the Ash Center about how AI will change political polling.
This article was written with Bruce Schneier and originally published at Technology Review on 2024-03-13. Oh, how the mighty have fallen. A decade ago, social media was celebrated ...
An ML system for predicting drug combination effects, presented at NeurIPS AI4Science and on bioRxiv.
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.
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.
An article for The New York Times about the emerging factions within the AI community.
An article outlining the possibilities AI provides to enhance public communication about climate change published by Eos Magazine (AGU).
An article for Wired about the then-coming generation of tool-using, agentic AI.
An article for the Technology Review about the variety of ways that AI will change politics writ large.
An article for The Conversation about how to build AI that is more trustworthy.
An article for The Conversation about how AI could be used in legislative engagement.
An article for Foreign Policy making the case for Public AI.
An article for Gizmodo about how to live in a world with untrustworthy AI.
An article for The Atlantic about how political campaigns may begin to use AI chatbots.
An article for the Tech Review about how AI could be used to write legislation.
An article for Harvard's Belfer Center blog about how to address AI's coming impacts on democracy.
Estimates the global prevalence of mass public shootings using Bayesian modeling.
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]
Examines the interdependence of large-scale massacres and mass media coverage.