Puerta Beldarrain, MaiteGómez Carmona, OihaneSánchez Corcuera, RubénCasado Mansilla, DiegoLópez de Ipiña González de Artaza, DiegoChen, Liming2025-05-062025-05-062025Puerta-Beldarrain, M., Gomez-Carmona, O., Sanchez-Corcuera, R., Casado-Mansilla, D., Lopez-De-Ipina, D., & Chen, L. (2025). A multifaceted vision of the human-AI collaboration: a comprehensive review. IEEE Access, 13, 29375-29405. https://doi.org/10.1109/ACCESS.2025.353609510.1109/ACCESS.2025.3536095https://hdl.handle.net/20.500.14454/2663Human-AI collaboration has evolved into a complex, multidimensional paradigm shaped by research in various domains. Key areas such as human-in-The-loop systems, Interactive Machine Learning (IML), Hybrid Intelligence, and Human-Agent Interaction have significantly contributed to this development. However, these fields often lack cohesion, underscoring the need for a cohesive perspective to advance. This work addresses this gap by integrating insights from diverse aspects of collaboration to present a holistic approach to fostering effective and adaptive interactions between humans and artificial agents. It emphasizes empowering end-users with greater control and involvement in decision-making processes, thereby enhancing both the levels of interactivity and adaptability within intelligent systems. Moving beyond a focus on AI training techniques, this paper presents a broader perspective on incorporating human input into AI decision-making and learning processes, highlighting the importance of flexibility in systems and user engagement. The manuscript proposes a framework encompassing five levels of human integration and examines their relationship with core collaboration aspects, including the system purpose, participant expertise, and system proactivity. By synthesizing current knowledge on human-AI collaboration and outlining essential design principles, this work aims to advance the field and foster interdisciplinary collaboration among researchers, practitioners, and designerseng© 2025 The AuthorsHuman-AI collaborationHuman-centred AIHuman-in-the-loopHuman-machine collaborationHuman-machine symbiosisHuman-robot collaborationHybrid intelligenceInteractive machine learningjournal article2025-05-062169-3536