37.2658, Confs: 16th International Conference on Artificial Intelligence in Music, Sound, Art and Design (Germany)
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LINGUIST List: Vol-37-2658. Thu Aug 13 2026. ISSN: 1069 - 4875.
Subject: 37.2658, Confs: 16th International Conference on Artificial Intelligence in Music, Sound, Art and Design (Germany)
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Date: 10-Aug-2026
From: Sérgio M. Rebelo [srebelo at dei.uc.pt]
Subject: 16th International Conference on Artificial Intelligence in Music, Sound, Art and Design
16th International Conference on Artificial Intelligence in Music,
Sound, Art and Design
Short Title: EvoMusArt 2027
Date: 31-Mar-2027 - 02-Apr-2027
Location: Mainz, Germany
Contact: Sérgio M. Rebelo
Contact Email: srebelo at dei.uc.pt
Meeting URL: https://www.evostar.org/2027/evomusart/
Linguistic Field(s): Computational Linguistics
Submission Deadline: 01-Nov-2026
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
Papers published in previous editions of EvoMusArt:
https://evomusart-index.dei.uc.pt
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.
EvoMusArt is highly relevant to linguists because its focus on
generative AI, large language models, poetry, narrative generation,
multimodal creativity, and human-AI co-creation directly intersects
with the study of language and communication. It offers linguists an
interdisciplinary venue to investigate how AI systems generate,
interpret, and evaluate language, as well as questions of meaning,
creativity, authorship, cultural context, and human-AI interaction.
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/
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