DM2I

DM2I is a collaborative research and web design project exploring the impact of generative artificial intelligence on the music industry. The objective was to document, structure and make accessible a complex set of issues including copyright, artist compensation, training data usage and the broader consequences of AI-generated music for creative professionals.

The project combined editorial research, data collection and digital mediation. Working as part of a four-person team, I contributed to the production of a public-facing website designed to translate these topics into a more readable and engaging experience through structured content and interactive visual formats.

The PDF displayed here corresponds to the original project deliverable produced during the internship period. As a continuation of this work, I later revisited the project independently and redesigned a more refined visual direction on Figma, based on a moodboard and references I selected myself to better align the interface, hierarchy and overall storytelling with the subject matter.

The first stage of the project focused on research, information gathering and content structuring. A shared methodology was established across the class to ensure consistency and reliability in the material being produced. To support this collaborative workflow, we used Notion to centralize sources and coordinate research, and Excel to organize, clean and analyse the collected information.

Once the content was validated, part of my role was to help prepare it for web integration by converting selected datasets into JSON files and structuring them for use in the final interface. I then worked on the implementation side of the project, contributing to the front-end integration of the website and to the creation of animated data visualizations aimed at making the information easier to understand for a non-specialist audience.

This project allowed me to work across the full production chain, from content preparation to visual restitution. It also gave me the opportunity to experiment with AI-assisted development workflows, while strengthening my skills in information architecture, front-end development and digital mediation through data-driven design.