What will you learn ?UX for AI :Students will learn How to understand latent needs, innovate using Industry 4.0 technologies using problem abstraction and reframing workshops to make the problem statement more inclusive and general.Students will learn AI and Human partnership challenges, System-centric and User-centric evaluation and Risk Analysis.Mixed-Initiative Interfaces:The principles of Human AI Collaboration will be a focus area, ensuring an optimal balance between automation and user control. This involves understanding how to design interfaces that enhance user agency while leveraging AI Capabilities.AI-Powered Data Visualisation:Participants will gain insights into using various visualization techniques like parallel coordinates, Radar Charts and Box Plots to make AI-driven insights more understandable and actionable.AI in Usability Testing & Risk Analysis:This course covers different User testing methods for testing AI solutions.
Wizard OZKLM – GOMESTeachable modelComputational Methods – Such as oracleThe Course will cover methods to automate the research process, Analyse the impact of AI on usability and ensure that AI implementations are ethical and user-friendly.Who should take this course?There are no prerequisites as such. UX Designers, UI Designers, UX Researchers, Product Designers and Managers, AI & Data Enthusiasts and Anyone Curious about AI in UX
