This paper offers a groundbreaking method of incorporating argumentative reasoning into LLMs, aiming to improve not only the transparency but also the contestability of AI-generated decisions in complex scenarios.

• Development of argumentative LLMs for enhanced decision-making
• Use of formal argumentation frameworks
• Capability to provide explainable and contestable outputs
• Demonstrated success in tasks such as claim verification
• Exploration of potential applications in legal and ethical decision frameworks

The integration of structured argumentation into LLMs marks a significant step toward achieving explainable AI, providing a robust basis for decisions in critical applications.