CONCEPTS (Pojęcia)
Interpretations and Reinterpretations of Concepts in Written, Visual, and Artificial Intelligence Languages
International interdisciplinary project
Curator: professor Agnieszka Ziemiszewska,
Polish-Japanese Academy of Information Technology, Warsaw, Poland
Cooperation: Tifenn Gargam, HEI Bréquigny, Rennes, France
Vimeo channel: https://vimeo.com/showcase/11487052
ACTIVITIES:
︎︎︎ AIGA DEC Weave 2025 Conference
Illinois State University, Normal, IL, USA
June 12–13, 2025
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︎︎︎ IFPSC 2025 Conference
The 3rd International Fine Arts, Printing and Sustainability
Istanbul, Türkiye.
May 29-30, 2025
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︎︎︎ Exhibition at The Lodz Design Festival
Lodz Design Festival, 2025
Łódź, Poland
May 20-25, 2025
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︎︎︎ Exhibition in Warsaw, Poland
January 10-21, 2025
Gallery Medium
Polish-Japanese Academy of Information Technology
ul. Koszykowa 86, Warsaw, Poland
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PARTICIPANTS
300 students from 22 universities from Japan, France, Iran, Turkey, Taiwan, Hungary, Ukraine, Poland and the USA
Participating Institutions:
- Polish-Japanese Academy of Information Technology, Poland (organising institustion)
- Academy of Art in Szczecin
- Academy of Fine Arts in Gdansk, Poland
- Academy of Fine Arts in Cracow, Poland
- Baha'i Institute for Higher Education, Iran
- Çanakkale Onsekiz Mart University, Turkey
- City Center of Isfahan University, Iran
- Fazili Art School, Iran
- Gifu City Women's College, Japan
- HEI Bréquigny, Rennes, France
- Hungarian University of Fine Arts, Hungary
- Iowa State University, USA
- Islamic Azad University, Iran
- İstanbul Üniversitesi-Cerrahpaşa, Turkey
- Kharkiv State Academy of Design and Arts (KSADA), Ukraine
- Kherson National Technical University, Kherson (Department of IT and Design), Ukraine
- National Taiwan Normal University, Taiwan
- Nicolaus Copernicus University in Torun, Poland
- Sepehr university, Iran
- Shayestegan Art School, Iran
- Soore University, Iran
- UAx Mentoring Programme
- Elia, The Netherlands - European League of Institutes of the Arts
- University of Warmia and Mazury in Olsztyn, Poland
- Prof. Christopher Scott, USA, Graphic Design Department at Iowa State University
- Prof. Tomoko Miyagawa, MFA, Japan, Department of Design Gifu City Women's College
- Prof. Gael Le Guillerm, France, Graphic Design DNMADE Visual Languages, HEI Brequigny
- Prof. Oleg Veklenko, Ukraine, Kharkiv State Academy of Design and Arts
- Andrea Szabo, Assistant Professor, Hungary, Hungarian University of Fine Arts, Budapest
- Prof. Krzysztof Białowicz, Poland, Faculty of Fine Arts, Nicolaus Copernicus University in Toruń
- Prof. Sophia Ling-hung Shih, Taiwan, National Taiwan Normal University, former vice president of lco-D
- Prof. Ayse Derya Kahraman, Turkey, Graphic Design Department, Istanbul Universitesi Cerrahpaşa
- Adam Klasa, PhD, Poland, Graphic Design Department, Academy of Art, Szczecin
- Prof. Tifenn Gargam, France, Humanities and Creative Writing, DNMADE Visual Languages, HEI Brequigny, IUT - University of Rennes
- Prof. Didem Çatal, Turkey, Çanakkale Onsekiz Mart University
- Babak Safari, MFA, Iran, Isfahan University Center
- Maja Starakiewicz, PhD, Poland, Academy of Fine Arts in Krakow
- Dr. Jaroslaw Bujny, Poland, UWM Olsztyn
ABOUT
Concepts play a fundamental role in structuring our relationship with reality, language, and culture. They allow us to articulate both abstract phenomena—ranging from universal ideas to highly individualized interpretations shaped by socio-political, cultural, and personal contexts. This project explores how concepts can be interpreted and reinterpreted across different expressive modes: written language, visual art, and artificial intelligence (AI). By juxtaposing human-authored statements and artworks with AI-generated images, the study highlights both the tensions and convergences between subjective meaning-making and machine-mediated interpretation.
Process
The project was initiated in 2023 in Poland. A brief was developed, and professors as well as students from 22 universities in Japan, France, Iran, Turkey, Taiwan, Hungary, Ukraine, Poland, and the United States were invited to participate. Each participant selected a single concept (one word) and presented it in three forms outlined in the brief:
The language prompts, together with the participants’ written descriptions, were then used to generate AI-based visual interpretations. This dual output – human and AI – served as the basis for comparative analysis.
Methodology
This study used a comparative interpretative methodology comprising:
• qualitative textual analysis of participants' statements to identify key conceptual themes,
• visual semiotic analysis of students' work and AI-generated results, with a particular focus on symbolism, abstraction, and points of divergence,
• systematic categorization of concepts and artifacts through the use of color-coded “emotional temperature zones” serving as symbolic indicators of the affective intensity of selected terms,
• an exhibition as a form of dissemination: in 2025, the results of the project were presented at the PJATK Gallery in Warsaw, where the works were exhibited alongside panels explaining the creative and interpretative processes.
A preliminary analysis of the collected materials emphasized the key role of human interpretation, while questioning the ability of artificial intelligence to “translate” human signals into a coherent visual language—especially with regard to the metaphorical and poetic references contained in human communications.
Preliminary Analysis
The preliminary analysis showed how artificial intelligence deviated from the authors’ intentions—sometimes amplifying meaning, sometimes distorting it. Human works reflected cultural, symbolic, and emotional contexts, while AI relied on statistical patterns, often producing reductive images. The project thus highlighted both the creative autonomy of human interpretation and the limitations of algorithmic image creation.
The project is ongoing and will involve further development and analysis.
Concepts play a fundamental role in structuring our relationship with reality, language, and culture. They allow us to articulate both abstract phenomena—ranging from universal ideas to highly individualized interpretations shaped by socio-political, cultural, and personal contexts. This project explores how concepts can be interpreted and reinterpreted across different expressive modes: written language, visual art, and artificial intelligence (AI). By juxtaposing human-authored statements and artworks with AI-generated images, the study highlights both the tensions and convergences between subjective meaning-making and machine-mediated interpretation.
Process
The project was initiated in 2023 in Poland. A brief was developed, and professors as well as students from 22 universities in Japan, France, Iran, Turkey, Taiwan, Hungary, Ukraine, Poland, and the United States were invited to participate. Each participant selected a single concept (one word) and presented it in three forms outlined in the brief:
- Written statement – a short text reflecting on the chosen concept.
- Artistic statement – a visual artwork (static and/or video) expressing the concept.
- Language extension – a list of 20 synonyms (prompts) or related terms.
The language prompts, together with the participants’ written descriptions, were then used to generate AI-based visual interpretations. This dual output – human and AI – served as the basis for comparative analysis.
Methodology
This study used a comparative interpretative methodology comprising:
• qualitative textual analysis of participants' statements to identify key conceptual themes,
• visual semiotic analysis of students' work and AI-generated results, with a particular focus on symbolism, abstraction, and points of divergence,
• systematic categorization of concepts and artifacts through the use of color-coded “emotional temperature zones” serving as symbolic indicators of the affective intensity of selected terms,
• an exhibition as a form of dissemination: in 2025, the results of the project were presented at the PJATK Gallery in Warsaw, where the works were exhibited alongside panels explaining the creative and interpretative processes.
A preliminary analysis of the collected materials emphasized the key role of human interpretation, while questioning the ability of artificial intelligence to “translate” human signals into a coherent visual language—especially with regard to the metaphorical and poetic references contained in human communications.
Preliminary Analysis
The preliminary analysis showed how artificial intelligence deviated from the authors’ intentions—sometimes amplifying meaning, sometimes distorting it. Human works reflected cultural, symbolic, and emotional contexts, while AI relied on statistical patterns, often producing reductive images. The project thus highlighted both the creative autonomy of human interpretation and the limitations of algorithmic image creation.
The project is ongoing and will involve further development and analysis.