Vera Schmitt - Information Warfare
In recent years, artificial intelligence (AI) has revolutionized digital communication, governance, and economic systems. The rise of AI-driven technologies has significantly impacted information trust, transparency, innovation, and accountability. Especially in the domain of Natural Language Processing (NLP), significant advancements have been achieved by relying on transformer-based architectures,1 which have enabled Large Language Models (LLMs) to process text data more effectively. LLMs like GPT-4o, LLaMA, Deepseek, and others are built on these architectures, fundamentally reshaping human-AI interaction. While these models offer opportunities for more efficient information retrieval and improved question-answering, they also pose challenges regarding governance, accountability, and ethical considerations.