Justification System

Justification systems are formal frameworks designed to explain the reasoning behind decisions made by artificial intelligence systems, particularly in applications like fact-checking, automated grading, and recommender systems. Current research emphasizes developing models that generate clear and understandable justifications, often employing neuro-symbolic architectures that combine neural networks with logical reasoning or leveraging retrieval-augmented language models. This work aims to improve the transparency and trustworthiness of AI, enhancing user understanding and facilitating the debugging and refinement of complex algorithms.