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Lost Skies are computer generated images that express the essence of our collective gaze at nature affected by climate change. In order to achieve this all-encompassing perspective, I utilize artificial intelligence (AI) system, AIEye, as an artistic tool and combine

Women Reclaiming AI is a collaborative conversation AI or chatbot, currently being developed by a growing community of 100+ women. Through workshops and a shared platform for writing and editing we aim to reclaim women's voices from non-diverse development teams and

Melomics (derived from "genomics of melodies") is a computational system for the automatic composition of music (with no human intervention), based on bioinspired algorithms. Melomics applies an evolutionary approach to music composition, i.e., music pieces are obtained by simulated evolution. These

CTRL-F is a transdisciplinary collective that explores the art / science link. Focusing their research on the intersection between audiovisual files with specific architectures of Artificial Intelligence. The CTRL-F members come from various fields: social sciences, graphic design, computer science,

Jeroen van der Most Dutch artist Jeroen van der Most, or shorthand Most, has created art with data, algorithms, and artificial intelligence for over 10 years. His current focus is on reaching a next level in AI-based creation in which the

Mark d’Inverno is a researcher and academic at the Department of Computing at Goldsmiths, University of London. He has mostly investigated the role the Artificial Intelligence plays in learning and creativity practices. ¿How creativity, learning, and AI do relate to

Machine learning tools provide the potential for unprecedented creative expression, but also the potential to cause unintended harms. “Making AI Art Responsibly: A Field Guide” is an illustrated zine composed of questions and case studies to help AI artists use AI

TELMI: Technology-Enhanced Learning of Music Instrument Performance. The TELMI project addressing the challenges of music instrument learning by developing technologies to enhance musical learning. Using the violin as a case study, we have designed a system that embraces both traditional methods

AI and Arts – A Workshop to Unify Arts and Science. Throughout the last years, new methods in artificial intelligence have revolutionized several scientific fields. These developments affect arts twofold. On the one hand, artists discover machine learning as a new