2025/12/04 by Marios D. Dikaiakos · 1 voice
Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI #Misinformation and Its Impacts
paper · pdf · doi:10.22151/politikon.61.con3
openalex created_date 2025/12/04 · openalex publication_date 2025/12/04 · openalex updated_date 2026/05/21
The rapid spread of Large Language Models (LLMs) is transforming how individuals access and interpret information, increasing societal exposure to sophisticated forms of misinformation. As generative AI becomes a central information gatekeeper, it expands the attack surface for Foreign Information Manipulation and Interference (FIMI), enabling scalable data contamination, alignment manipulation, and realistic synthetic media. These dynamics weaken critical evaluation skills and amplify latent model biases, paralleling the long-term cognitive effects of traditional disinformation. Using lessons from science misinformation, the paper argues for robust regulation, transparent training practices, and integrated resilience strategies to mitigate emerging systemic risks posed by generative AI.