The rapid growth of tools powered by large language models (LLMs) faces increasing risks from misinformation on the open internet. Various actors—including governments, corporations, and scammers—can manipulate online content to influence what AI systems learn and present as facts. Key threats include medical misinformation, inauthentic political speech, and “data voids” that allow misleading information to dominate obscure topics. Managing these risks has become not only a technical issue but also a challenge of governance and trust. The article highlights solutions such as improving data curation, strengthening model training methods, and integrating fact-checking mechanisms.
Read more: https://www.techpolicy.press/how-to-manage-misinformation-in-large-language-models/
