KEY LEARNINGS
- AI has industrialized the creation of false narratives, allowing individuals to produce propaganda at a scale previously limited to state actors.
- Disinformation is the intentional creation of falsehoods, while misinformation is the accidental sharing of false content; AI accelerates both.
- The 'Liar's Dividend' describes how the mere existence of AI content erodes trust in genuine media, giving bad actors plausible deniability.
- Algorithmic amplification often favors sensational, AI-generated falsehoods over nuanced truth because they drive higher engagement.
- Organizational resilience requires 'lateral reading' and verification protocols, rather than relying solely on technical detection tools.
- 📄CSET: Generative Language Models and Automated Influence OperationsGeorgetown research on AI-powered influence operations.
- 🌐MIT Media Lab: Detect FakesMIT resources for detecting synthetic media.
- 📰The Psychology of Fake NewsResearch on why people believe misinformation.
- Goldstein, J.A., et al. (2023). Generative Language Models and Automated Influence Operations. Georgetown Center for Security and Emerging Technology.
- Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380).
- DiResta, R. (2023). The Supply of Disinformation Will Soon Be Infinite. The Atlantic.
