Tag Archive: Natural language processing

Truth, Lies, and Automation

Ben Buchanan, Andrew Lohn, Micah Musser, and Katerina Sedova
| May 2021

Growing popular and industry interest in high-performing natural language generation models has led to concerns that such models could be used to generate automated disinformation at scale. This report examines the capabilities of GPT-3--a cutting-edge AI system that writes text--to analyze its potential misuse for disinformation. A model like GPT-3 may be able to help disinformation actors substantially reduce the work necessary to write disinformation while expanding its reach and potentially also its effectiveness.

James Dunham is an NLP Engineer at CSET. His doctoral research at MIT addressed measurement problems in political science using unstructured data and natural language processing.

Plus using NLP to identify disinformation, the USCC annual report and progress on AI R&D