Advances in artificial intelligence (AI) and machine learning (ML), to include the widespread promulgation of easily accessible large language models (LLM), appear to be ushering in a new era of misinformation and disinformation. What impact will AI/ML have on the speed at which misinformation and disinformation can be created and spread? What AI/ML-enabled capabilities can promote resistance to disinformation? How can we counter adversarial messaging that utilizes LLM?
What are the training and education requirements for the use of AI/ML within SOF? How can SOF practitioners leverage AI/ ML and other new technology at the individual and small-unit levels? Does the rise of AI/ML affect the skillsets needed at both individual and organizational levels to conduct the Information joint function? Within the SOE and SOF, how do you develop resiliency to misinformation and disinformation? How can SOF capabilities such as psychological operations best utilize AI/ML and LLMs? How can we use commercial off-the-shelf technology to promote resiliency to misinformation and disinformation both with U.S. SOF and our partners and allies?
- Keohane, Maj. Christopher M., "Arguing with the Dragon: Taiwan's Counter Disinformation Campaigns and Deterring Conflict," AFGC thesis, 2025, 54 pgs.
- Keohane answers this by examining China's evolving tactics, noting that the Chinese use advanced algorithms and AI to generate a continuous, coordinated stream of disinformation designed to overwhelm Taiwanese fact-checkers. To counter this, Keohane highlights how Taiwan promotes resistance by partnering with local media to train journalists on using AI, image search, and video analysis technologies to identify AI-generated fakes. This collaborative use of technology allows Taiwan to amplify its fact-checking network and keep pace with the speed of Chinese AI-enhanced information warfare.