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Co-Creative AI Workshop
This is my first-time attending a research workshop and was a little bit nervous that I can get into this new community. Since I started my visiting research, I faced this emotion so many times, doing something with completely out of your topic, and getting into new community from a minority background is always difficult, but this is something I am excited about and much appreciate to have this situation. I am more like a person who always think from a technology perspective, so I’ve immediately noticed that after having a brief self-introduction, it was exciting to see how different background people (artist, researcher, and various domain field related to creativity) participated in this workshop. After our introduction, we first discussed what is creativity, and co-creative AI. We brainstormed a lot of ideas and then shifted this idea to divide several relevant topics that encapsulate co-creative AI from different perspectives.
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We ended up the 5 topics and I could see a lot of divergences from the history and future of these terms, and realized when we think about AI in the context of creativity as a researcher, we need to be much more careful rather than you expected, and we could not avoid ethical perspective anymore. Mark who is organizing this workshop published well well-written paper related to the AI ethical problem “A computational framework of human values for ethical AI”.
Further discussion details will be published from this workshop organizer so I will not describe many details.
Human-Human / Human-AI Collaboration
My group are mainly discussing human and human/ human and AI collaboration. We discussed how we can propose of a new suggested framework for Human-AI collaboration informed by practice. We look at human-AI dialogues and agency through embodied experience of improvisation, analysing in dynamics of co-creative practices to gain insights regarding the differences and similarities between human-human and human-AI interaction. “Practiced-based research” I’ve heard of this word so many times and this is the idea of doing research as a practitioner. In this group, we have different types of practitioners and start talking our experience. For example, Lucjia who is a media artist and researcher she introduced us her work called “Transhuman Ansambl” which is a live performance and installation using her voice and 16 accompanying “Vox agents”.
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Through her practice, I reflect on my research as I must do more practice (making music, performance etc.). Sometimes these practices really help us think to get more essence.
Another inspired lighting talk from Mark d’Inverno from Goldsmiths about “AI 2 sound right”. Some jazz artist, Bill evans says “that I arrived at myself for every note I play”. There is something we’re sure we can’t replace with AI when we see beautiful pieces. Cécile McLorin Salvant
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But then why do we fear the AI? Reith Lectures: AI and why people should be scared
He elaborates on current concerns about using AI in music, such as lack of trust/understanding-data & algorithm, fear of being duped or deep-faked, fear of AI automating music creation, and fear that musicianship and music itself is being diminished. He is also a jazz player and his value as an improviser is the authenticity of “own sound”, moment-by-moment connection.
Last part of the presentation, he introduced his manifesto for AI in music, emphasizing human values, providing a sense of otherness, and provoking our “music creativity”, these are quite important and something I want to keep in mind.
Visiting Florence.
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Florence is obviously meaning a lot from our historical traits. We visit the church called “Santa Maria Novella”.
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In this era, they don’t have camera or even the concept of perspective, most of paints drew on the wall inside the church are flat perspective. It was interesting how human develop and getting realistic landscape, the process of changing representation of myself, by seen millions of art collection in Florence.
いただいたサポートはGADARAでの作品作りに使わせていただきます・・!