The field of systems engineering and design is witnessing a significant shift towards the integration of Artificial Intelligence (AI) and machine learning (ML) techniques. Recent developments indicate a growing trend towards leveraging AI to enhance various aspects of systems engineering, including requirements engineering, failure mode and effects analysis, and design validation. One of the key directions is the use of AI to support human-AI co-creation, enabling more effective and responsible collaboration between humans and AI systems. Another area of focus is the development of novel frameworks and methodologies that facilitate the integration of AI and ML into systems engineering, such as the use of agentic AI simulations and Large Language Models (LLMs) for requirements engineering and validation. Noteworthy papers in this area include the proposal of the Creative Intelligence Loop (CIL) framework for human-AI co-creation, and the development of REACT and SemaLens components for assuring AI-enabled safety-critical systems. These advancements have the potential to transform the field of systems engineering and design, enabling more efficient, effective, and reliable development of complex systems.