# Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations
- Author(s): Josh A. Goldstein, Girish Sastry, Micah Musser, Renée DiResta, Matthew Gentzel, and Katerina Sedova
- Date: 2023
- Publication: ArXiv
- [Link](https://arxiv.org/abs/2301.04246)
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## Summary
The report discusses how artificial intelligence (AI) systems called generative models are making progress in automated content creation, which has possible benefits for fields such as healthcare and law. However, these models bring potential negative applications for malicious actors looking to spread propaganda. **The report analyses how generative language models or language models can affect influence operations in three dimensions: the actors waging campaigns, the deceptive behaviors leveraged as tactics, and the content itself**. The report highlights that language models will be useful for influence operations, but their exact nature of application is unclear. The report also discusses critical unknowns that will impact the adoption of language models for influence operations.
### Actor, Behavior, Content model
![[misinfoIntervention_AI_ABCs.png]]
### What can be done?
![[misinfoIntervention_AI_mitigation.png]]
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#### Related
[[misinformation]] [[misinfo_interventions]] [[LLM]] [[AI]]