Algorithmic Framework for Design Thinking : Enhancing Innovation in Complex Problem Spaces

This paper presents a framework that combines Design Thinking with Artificial Intelligence (AI) to tackle complex problem-solving challenges. With AI increasingly integrated into design processes, the framework aims to leverage both human intuition and machine capabilities. It conceptualizes design as a human-machine algorithmic system, using probabilistic algorithms to dynamically explore and refine solutions. By viewing design as a stochastic process that navigates high-dimensional state spaces, this approach is well-suited for addressing “wicked problems” requiring a blend of human creativity and AI's computational power. The framework offers a structured, iterative process that enhances traditional Design Thinking, bridging the gap between conventional and AI-driven methodologies to handle the complexities of modern design challenges.