XAI.it 2024: An Overview on the Future of AI in the era of Large Language Models

The rapid development and deployment of Large Language Models (LLMs) has the potential to transform numerous industries and aspects of our lives, from natural language processing and text generation to customer service and decision-making. However, as these models become increasingly sophisticated and pervasive, the need for AI (XAI) to ensure the transparency, interpretability, and trustworthiness of their outputs has grown more pressing. This work discusses the current state and future directions of XAI in LLMs, highlighting the challenges and opportunities in developing techniques that can handle the massive scale and complexity of modern LLMs and exploring the potential for XAI to revolutionize the way we interact with and rely on LLMs in the future. As LLMs are increasingly used to make decisions, generate content, and provide information, the lack of transparency and interpretability in their decision-making processes can have far-reaching consequences, including the potential for bias, misinformation, and harm. XAI in LLMs is essential to address these concerns, providing a means to understand the reasoning and decision-making processes behind the outputs of these models. XAI.it 2024 focused on these issues and provided a space to discuss them with the international scientific community during the annual AixiA conference focusing on new challenges and research perspectives in Artificial Intelligence.