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Keynote Title: AI and Music with Knowledge Graphs Keynote Lecturer: Valentina Presutti Presented on: 24/02/2023, Lisbon, Portugal Abstract: Despite the ethical, commercial, and social issues, and the related ongoing debates, AI applications in the creative domains (e.g., generative AI, music recommendation systems) have reached impressive performance. There are many exploitation scenarios in educational contexts, in supporting the human creative process, in musicological or historical research, etc. Nevertheless, there are issues, sometimes overlooked, that those AI have in common. In particular, they are trained on massive data of arguably untraceable provenance, quality, and validation, so that they cannot express the features and motivations leading to their output. This issue limits their applicability in scenarios that require domain-specific and high-quality data. The main message of this talk is that machine-learning AI cannot go much further without - or to put it nicely, can benefit from - curated and formalized knowledge, e.g., ontologies and knowledge graphs. I will support my position by presenting examples from the Polifonia research project, which is creating large knowledge graphs of musical heritage and experimenting with applications that benefit from them. Conference Website: https://icaart.scitevents.org Presented at the following Conference: ICAART, 15th International Conference on Agents and Artificial Intelligence