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  4. Integrating Generative AI into Art Therapy: A Technical Showcase
 

Integrating Generative AI into Art Therapy: A Technical Showcase

URI
https://arbor.bfh.ch/handle/arbor/44696
Date Issued
2024-12-04
Author(s)
Schmutz, Yannis Valentin
Kravchenko, Tetiana
Ben Souissi, Souhir
Kurpicz-Briki, Mascha  
Type
Working Paper
Language
English
Subjects

cs.AI

Abstract
This paper explores the integration of generative AI into the field of art therapy. Leveraging proven text-to-image models, we introduce a novel technical design to complement art therapy. The resulting AI-based tools shall enable patients to refine and customize their creative work, opening up new avenues of expression and accessibility. Using three illustrative examples, we demonstrate potential outputs of our solution and evaluate them qualitatively. Furthermore, we discuss the current limitations and ethical considerations associated with this integration and provide an outlook into future research efforts. Our implementations are publicly available at https://github.com/BFH-AMI/sds24.
DOI
https://doi.org/10.24451/dspace/11492
Publisher DOI
10.48550/arXiv.2412.03287
Publisher URL
https://arxiv.org/abs/2412.03287
Related URL
https://github.com/BFH-AMI/sds24
Organization
Institute for Data Applications and Security (IDAS)  
IDAS / Applied Machine Intelligence  
Technik und Informatk  
Publisher
Cornell University
Submitter
Kurpicz-Briki, Mascha
Citation apa
Schmutz, Y. V., Kravchenko, T., Ben Souissi, S., & Kurpicz-Briki, M. (2024). Integrating Generative AI into Art Therapy: A Technical Showcase. Cornell University. https://doi.org/10.24451/dspace/11492
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License
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Size

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