Artificial intelligence (AI) has shown great potential to address the multitude of complex challenges related to requirements engineering (RE). Techniques from natural language processing, information retrieval, and machine learning have deepened our understanding of the intricacies of RE on a theoretical level and enabled the development of powerful tools to support practitioners in their RE-related tasks. Especially the wake of generative AI via large-language models (LLMs) has shown great potential to address the inherent complexity of dealing with requirements artifacts that are often specified in natural language. The AIRE workshop provides a forum for researchers and practitioners interested in the intersection of AI and RE. We appreciate studies in both directions, i.e., leveraging AI to support RE is equally interesting as applying RE to develop new AIs. Both researchers and practitioners are invited to participate in this exchange, as we aim to connect practically relevant challenges reported by industry with novel and promising solutions developed in research.