The MUSAE project has developed and implemented a training program during the MUSAE Art-Tech Residencies tailored to the specific domain of Food as Medicine and technologies, such as AI, Robotics and Wearables. The training program designed to help SMEs and artists to gain insights into technology, ethics, food domain, and work management tools. The training was provided in both online webinars, as well as presentations which you will find in this section.

Training on the DFA method and Art-tech collaboration

Training on the Food as Medicine

Training on Technologies

Trustworthy AI Framework

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Responsible AI Music (RAIM) is a collaborative initiative bringing together musicians, AI experts, ethicists, and legal experts to define, expand, and monitor requirements for generative music AI. Our goal is to work towards a framework providing guidance on the responsible development and use of generative models and system for music. RAIM takes a holistic approach, harmonising previous work that has tackled specific aspects of generative systems (e.g., transparency, evaluation, data), within the Ethics Guidelines for Trustworthy AI produced by the European Commission – a framework for designing responsible AI systems across 7 macro requirements. Focusing on generative music AI, we illustrate how these requirements can be contextualised for the field, addressing trustworthiness across multiple dimensions and integrating insights from the existing literature.

Training on Intellectual Property and Work Management Tools