X-RAI

Designing for the intersection of AI and user experience, I created an intuitive platform that simplifies the documentation of Machine Learning models while prioritizing transparency and responsible AI. With a focus on user-centered design, I transformed complex technical frameworks into seamless, accessible digital experiences.



Key Contributions:
UI/UX Design: Designed the user interface for the platform, prioritizing usability and clarity.

Style Guide: Created a comprehensive style guide in Figma, ensuring consistency in design across the platform.

Component Library: Developed a reusable component library in Figma to streamline design and development processes.


In addition to the design work, I was deeply involved in the research and collaborative aspects of the project, including:

User Observation: Conducted user observations to understand the needs and behaviors of the platform's target audience.

Collaboration: Actively participated in multiple working group meetings to align with project goals and stakeholders.

Digital Concept Development: Transformed the X-RAI framework into a tangible digital concept, designing the platform in Figma from concept to prototype.

User Interviews: Facilitated interviews with key users to gather valuable insights into their experiences and needs.

Workshop Facilitation: Led a workshop with data scientists from the Machine Learning Lab to explore the platform’s potential and refine its features.



This project sharpened my skills in user-centered design, collaborative problem-solving, and the integration of ethical AI principles into technology development.