Design Thinking with AI

Organisations across the public, private, and third sectors are increasingly adopting Design Thinking (DT) methodologies to drive innovation, enhance user experience, and address complex challenges. DT is a user-centred, creative problem-solving method that emphasises understanding the needs and experiences of users and stakeholders to develop innovative solutions. It involves a flexible, iterative process that typically includes five key phases: (1) empathising, (2) defining, (3) ideating, (4) prototyping, and (5) testing. Recent advancements in Artificial Intelligence (AI) technologies, such as machine learning, Natural Language Processing (NLP), computer vision, and generative AI, have created new opportunities to enhance the DT process. AI can analyse vast quantities of data, generate user insights, predict trends, automate tasks, and create innovative solutions through generative design, speeding up prototyping and testing for faster iteration. However, AI technologies also introduce novel challenges for DT including algorithmic bias, privacy and data security concerns, lack of transparency in decision-making, and the potential over-reliance on automation. Navigating these issues requires a balanced, informed approach that considers both the strengths and limitations of AI-assisted design.

UK students: £1000

UK/Home: £1000

21 Sep 2026

• Belfast, United Kingdom