Call for Papers: 16th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMusArt 2027)

Call for papers for the 16th International Conference on Artificial
Intelligence in Music, Sound, Art and Design (EvoMusArt) · Please
distribute · Apologies for cross-posting
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The 16th International Conference on Artificial Intelligence in Music,
Sound, Art and Design (EvoMusArt) will take place on 31 March – 2 April,
2027, as part of the evostar event.

*EvoMusArt webpage: *https://www.evostar.org/2027/evomusart/
*Submission deadline: *1 November 2026
*Conference: *31 March – 2 April 2027


EvoMusArt is a multidisciplinary conference that brings together
researchers working on the application of Artificial Neural Networks,
Evolutionary Computation, Swarm Intelligence, Cellular Automata, Artificial
Life (Alife), Generative AI, Foundation Models, and other Artificial
Intelligence (AI) techniques in creative and artistic fields such as Visual
Art, Music, Architecture, Video, Digital Games, Poetry, Design, and
Interactive Media. The conference provides a forum for presenting and
discussing novel research, artistic practices, systems, and applications
that explore computational creativity, human-AI co-creation, and emerging
creative technologies. Submissions must be at most 14 pages long, excluding
references, in Springer Lecture Notes in Computer Science (LNCS) format.
Each submission must be anonymised for a double-blind review process.

Accepted papers will be presented orally or as posters at the event and
included in the EvoMusArt proceedings published by Springer Nature in a
dedicated volume of the LNCS series.

Submissions should address the use of AI techniques (e.g. Evolutionary
Computation, Artificial Neural Networks, Alife, Machine Learning (ML), Deep
Learning, and Swarm Intelligence) in creative and artistic domains,
including art, music, design, architecture, and related fields. Topics of
interest span generation, automation, computer-aided creativity and
creativity support tools, and theoretical aspects of computational
creativity, including but not limited to:
— Systems that create drawings, images, animations, videos, sculptures,
poetry, text, designs, webpages, buildings, virtual environments, and other
creative artefacts;
— Systems that create musical pieces, sounds, instruments, voices, sound
effects, soundscapes, and multimodal artistic experiences;
— Systems that create artefacts such as game content, architecture,
furniture, industrial products, and digital experiences based on aesthetic
and functional criteria;
— Generative AI, foundation models, large language models (LLMs),
multimodal models, and diffusion-based creative systems;
— Computational creativity in digital games, interactive storytelling, and
narrative generation;
— Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and
Extended Reality (XR) for artistic and creative applications, including
immersive art installations and interactive creative environments;
— Robotic-based Evolutionary Art and Music;
— Embodied AI, tangible and wearable interfaces, and smart environments for
creative applications;
— Digital fabrication, 3D printing, and computational approaches to
physical artefact creation;
— Other artificial, generative, evolutionary, or biologically inspired
techniques in the fields of Computer Music, Computer Art, Design, and
Digital Culture;
— Techniques for automatic fitness assignment;
— AI agents and autonomous creative systems;
— Systems in which analysis or interpretation of artworks is combined with
AI techniques to generate novel artefacts;
— Systems that use AI for the analysis, understanding, restoration,
preservation, or curation of artistic and cultural heritage resources;
— Human-AI co-creation, mixed-initiative systems, intelligent interfaces,
and AI-based creativity support tools;
— New ways of integrating users and audiences into the evolutionary,
generative, or creative cycle;
— User-centred evaluation of creative AI systems and creative experiences;
— Analysis and evaluation of the artistic potential of biologically
inspired and AI-based creative systems, their creative processes, and
resulting artefacts;
— Collaborative, distributed, and multi-user creative systems, networked
art environments, and collective computational creativity;
— Contextualisation of Creative AI in cultural, economic, social,
political, legal, ethical, ecological, and sustainability-related discourse.
— Computational Aesthetics, Experimental Aesthetics, Emotional Response,
Engagement, Surprise, Novelty, and Meaning;
— Representation techniques and creative knowledge representations;
— Explainability, transparency, authorship, ownership, and ethics in
Creative AI;
— Surveys of the current state of the art; identification of strengths and
weaknesses; comparative analyses and taxonomies;
— Validation and evaluation methodologies for creative systems and
generated artefacts;
— Studies on the applicability of these techniques to related domains;
— New models designed to promote creativity through evolutionary
computation, Alife, ML, and hybrid approaches.

More information on the submission process and topics:
https://www.evostar.org/2027/evomusart/

Papers published in previous editions of EvoMusArt:
https://evomusart-index.dei.uc.pt



We look forward to seeing you at EvoMUSART 2027 in Mainz!

The EvoMUSART 2027 organisers
Sérgio M. Rebelo
Patrick Donnelly
Nereida Rodríguez-Fernández (publication chair)

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