Paper Title
Human-AI Collaboration in Software Design: A Framework for Efficient Co-Creation

Abstract
In this paper, we consider the idea of Human A.I. collaboration in software design and focus on a framework for achieving Human A.I. optimized co creation of software between human developers and A.I. systems. As the complexity of software projects grows, and AI technology advances faster, there is increasing interest for using AI techniques in the software design process to improve creativity, efficiency and scalability. However, there is limited research on real world frameworks to support such collaboration.This paper presents a new framework for bridging the gap between human expertise and the capabilities of AI, considering how AI can be used to assist decision making; automate repetitive tasks; and enrich the design process. A mixed method approach was applied where performance metrics were studied quantitatively to supplement qualitative insights from software design professionals. We test the framework using a case study of an AI powered software design tool to evaluate how it impacts timelines, creativity, and collaboration quality. Main results show that collaboration supported by AI enhances both design efficiency and quality of decisions. The results also reflect on the difficulties in the aspects of trust and adaptability of integrating AI systems into human centered work. In the existing body of knowledge, the study provides the actionable insights to software development teams who would like to effectively leverage AI technologies. This research is novel because it characterizes human A IA interaction in software design space, discussing its practical implications on collaborative innovation. The paper highlights how AI systems should be designed to support human creativity, not replace it in order to improve software development processes. Keywords - Human-AI Collaboration, Software Design, Co-Creation, AI Framework, Software Development