The field of human-AI collaboration in art and performance is rapidly evolving, with a growing focus on the social and cultural implications of generative AI. Researchers are exploring the ways in which AI can be used to create new forms of artistic expression, and how humans interact with and interpret these creations. A key theme emerging from recent studies is the importance of considering the user's perspective and social context in the development and evaluation of AI-generated art. This includes examining how people perceive and attribute value to AI-created works, and how AI can be used to promote positive interactions between humans and animals. Another area of research is the development of new methodologies and frameworks for co-creating art and performances with AI, such as theatre-in-the-loop and participatory design workshops. Noteworthy papers in this area include: When Algorithms Meet Artists, which presents a 12-year analysis of the AI-art debate and highlights the need for deeper engagement with artist perspectives. Theatre in the Loop, which proposes a framework for developing expressive robot behaviours tailored to artistic performance through a director-guided puppeteering workflow.