Quantum Potential
Quantum Potential

SPECIAL EPISODE: AI, Propaganda and Democracy: Inside a Groundbreaking Discovery by Vanderbilt researchers

20 October 2025 43:52 Vanderbilt University

Listen to episode

About this episode

Political propaganda and artificial intelligence–driven misinformation are infiltrating social media accounts, and Americans need to do something about it. That’s the warning revealed in research from two Vanderbilt professors and discussed on this special episode of the Quantum Potential podcast. The researchers explain their breakthrough red flag discovery and how they uncovered evidence of a state-sponsored company in China that is deploying sophisticated, AI-driven propaganda campaigns and profiling U.S. political figures.

Brett J. Goldstein is a research professor who leads the Wicked Problems Lab at the Vanderbilt University Institute of National Security and is a former Pentagon official. Brett V. Benson is an associate professor of political science and a faculty affiliate at the Institute of National Security who uses AI to model some of the world’s most complex security challenges.

Goldstein and Benson talk with Vanderbilt provost C. Cybele Raver about the growing threat of AI-driven propaganda and the warnings they wrote about in a guest essay in The New York Times, “The Era of A.I. Propaganda Has Arrived, and America Must Act.” 

This episode was produced by Vanderbilt University and created through the collaboration of Randolph Infinger, Sydney Jones-Wright, Amber Palmer-Halma, Patrick Sams, Jennifer Stevens, Whit Stiles, Maisie Wilson, and Amy Wolf. 

Special thanks to Jad Abumrad, Vanderbilt University Distinguished Research Professor of Communication of Science and Technology and the executive producer of the Quantum Potential podcast and video series. 

Copyright 2025, Vanderbilt University.

For more information about Quantum Potential, go to vanderbilt.edu/quantumpotential/podcast.

The views and opinions expressed by guests on this podcast are their own and do not necessarily reflect those of the host or Vanderbilt University.

Follow Vanderbilt on Social Media: http://social.vanderbilt.edu/




Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Quantum Potential. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.