Identyfikatory
Warianty tytułu
Utracone w tłumaczeniu. Pilotażowe badania nad problemem tłumaczenia ludzkich myśli na język maszyn
Języki publikacji
Abstrakty
The article presents the conduct of a pilot study carried out at the Institute of Architecture of the Lodz University of Technology in the summer of 2024. The subject of the research that architecture students took part in was to trace the process of creating architectural concepts using the generative image model Midjourney by individuals with no previous exposure to AI tool-assisted design, for whom English – read by a tool capable of converting a string of keywords into an image – is not their native language. The authors’ goal was to capture difficulties arising from translation errors and lack of script literacy. The precisely defined architectural design problem was carried out by the participants of the study by selecting from among the images generated in the version 6.0 model on the basis of the prompts they had previously prepared. The results indicate the challenges arising from the need to translate thoughts into a language fully understandable by the machine. The title of the article, referring to a movie Lost in translation directed by Sofia Coppola, highlights the fleeting essence of the problem: words are only a certain signaller of meaning, which often fails in the full depiction of thought.
W artykule przedstawiono przebieg badań pilotażowych przeprowadzonych w Instytucie Architektury Politechniki Łódzkiej latem 2024 r. Wzięli w nich udział studenci kierunku architektura. Tematem badań było prześledzenie procesu tworzenia koncepcji architektonicznych za pomocą generatywnego modelu obrazowego Midjourney przez osoby niemające wcześniej styczności z projektowaniem wspomaganym narzędziami AI, dla których to osób język angielski – odczytywany przez narzędzie zdolne przetwarzać ciąg słów kluczowych na obraz – nie jest językiem ojczystym. Celem autorów było uchwycenie trudności wynikających z błędów translacyjnych oraz braku umiejętności posługiwania się skryptem. Precyzyjnie określony architektoniczny problem projektowy uczestnicy badania realizowali, wybierając spośród obrazów wygenerowanych w modelu w wersji 6.0 na podstawie uprzednio przygotowanych przez nich promptów. Uzyskane rezultaty wskazują na trudności wynikające z konieczności przełożenia myśli na język w pełni zrozumiały dla maszyny. Tytuł artykułu, nawiązujący do filmu Między słowami w reżyserii Sofii Coppoli, podkreśla ulotną istotę problemu: słowa są jedynie pewnym sygnalizatorem znaczenia, który często zawodzi w pełnym zobrazowaniu myśli.
Czasopismo
Rocznik
Tom
Strony
79--87
Opis fizyczny
Bibliogr. 25 poz., rys.
Twórcy
autor
- Architectural Humanities Research Association, Manchester, United Kingdom,
autor
- Institute of Architecture, Lodz University of Technology, Poland
Bibliografia
- Allen, Laura D., Wengian Xu, Mariko Nishikitani, Vaishnavi Atul Patil, and Dana Bradley. “Age Bias in Artificial Intelligence (AI): A Visual Properties Analysis of AI Images of Older versus Younger People.” Innovation in Aging 7, no. S1 (2023): 986. https://doi.org/10.1093/geroni/igad104.3168.
- Bernstein, Phil. Machine Learning. Architecture in the Age of Artificial Intelligence. RIBA Publishing, 2022.
- Bhatia, Manas. “Midjourney Envisions a Futuristic Sustainable City with Air-Purifying Biophilic Skyscrapers.” Published August 22, 2022. Accessed November 20, 2024. https://www.designboom.com/ar- chitecture/ai-futuristic-sustainable-city-air-purifying-biophilic-sky- scrapers-manas-bhatia-08-22-2022/.
- Coppola, Sofia, director. “Lost in Translation.” 1 h 42 min. Universal, 2003.
- Husam, Husain, and Nia Hourahksh Ahmed, eds. Beyond Blueprint: Advencements in Architectural Education and Innovations. Yayinlari Cinius, 2023.
- Jaruga-Rozdolska, Anna. “Artificial Intelligence as Part of Future Practices in the Architect’s Work: MidJourney Generative Tool as Part of a Process of Creating an Architectural Form.” Architectus, no. 3(71), (2022): 95–104. https://doi.org/10.37190/arc220310.
- Kamaoğlu, Melih. “The Idea of Evolution in Digital Architecture: Toward United Ontologies?” International Journal of Architectural Computing 21, no. 4 (2023): 622–34. https://doi.org/10.1177 /14780771231174890.
- Leach, Neil. Architecture in the Age of Artificial Intelligence. An Introduction to AI for Architects. Bloomsbury Academic, 2022.
- Li, Chengyuan, Tianyu Zhang, Xusheng Du, Ye Zhang, and Haoran Xie. “Generative AI for Architectural Design: A Literature Review.” Frontiers of Architectural Research 14, no. 3 (2025): 759–83. https://doi.org/10.1016/j.foar.2024.10.001.
- Markoff, John. “Will Computer Code Be the New English?” The New York Times. Published December 8, 1993. Accessed November 15, 2024, at https://www.nytimes.com/1993/12/08/business/business-tech- nology-a-free-and-simple-computer-link.html.
- Mayers, Jeffrey. “The Importance of Semantics and Syntax in Creating Text-to-Image Prompts Using Midjourney AI.” Published June, 2024. Accessed November 23, 2024. https://doi.org/10.13140/RG.- 2.2.21628.14723.
- Mousavi, Seyed Mohammad Amin Mostafavi, and Ebru Erdönmez Dinçer. “Revitalising and Renovating the Visitor Experience in the Historic Piazza San Marco; Based on the Installation Project Generated by Midjourney AI.” Journal of Technology in Architecture, Design and Planning 2, no. 1 (2024): 44–51. https://doi.org/10.26650/ JTADP.24.005.
- Paraman, Pradeep, and Sanmugam Anamalah. “Ethical Artificial Intel¬ligence Framework for a Good AI Society: Principles, Opportunities and Perils.” AI & Society 38 (2023): 595–611. https://doi.org/10.1007/s00146-022-01458-3.
- Petridou, Christina. “Hassan Ragan questions the future of architecture in the hands of emerging AI tools.” Published October 9, 2022. Accessed November 20, 2024. https://www.designboom.com/- architecture/hassan-raga-parametric-architecture-ai-tools-mid- journey-10-09-2022/.
- Petzold, Charles. Code: The Hidden Language of Computer Hardware and Software. Microsoft Press, 2000.
- Ploennings, Joern, Markus Berger. “AI Art in Architecture.” AI Civil Engineering 2, art. 8 (2023). https://doi.org/10.1007/s43503-023-00018-y.
- Radhakrishnan, Mohesh. “Is Midjourney-Ai the New Anti-Hero of Archi¬tectural Imagery & Creativity?” Global Scientific Journal 11, no. 1 (2023): 94–104.
- RIBA. “RIBA AI REPORT 2024”. Published February 29, 2024. Accessed November 15, 2024, at https://www.architecture.com/knowledge- and-resources/resources-landing-page/riba-ai-report-2024?srslti- d=AfmBOoqCZFdMzbtK2KbNQu-5ep6TziTrUlKzivthXLToMQ- 127FYaT9tV#available-resources.
- Stanusch, Natalia. “Wor(l)d-Image Trans-formation: Looking through DALL-E 2 and Midjourney.” La Valle dell’Eden, no. 41–42 (2023): 85–94. https://ojs.unito.it/index.php/vde/article/view/10831.
- Sukkar, Ahmad W., Mohamed W. Fareed, Moohammed Wasim Yahia, Salem Buhashima Abdalla, Iman Ibrahim, and Khaldoun Abdul Karim Senjab. “Analytical Evaluation of Midjourney Architectural Virtual Lab: Defining Major Current Limits in AI-Generated Representations of Islamic Architectural Heritage.” Buildings 14, 3 (2024): 786. https://doi.org/10.3390/buildings14030786.
- Tanugraha, Stephen. “A Review Using Artificial Intelligence-Generating Images: Exploring Material Ideas from MidJourney to Improve Vernacular Designs.” Journal of Artificial Intelligence in Architecture 2, no. 2 (2023): 48–57. https://doi.org/10.24002/jarina.v2i2.7537.
- Tsidylo, Ivan M., and Chele Esteve Sendra. “Artificial Intelligence as a Methodological Innovation in the Training of Future Designers: Midjourney Tools.” Information Technologies and Learning Tools 97, no. 5 (2023): 203–214. https://doi.org/10.33407/itlt.v97i5.5338.
- Valencia, Nicolás. “The Impact of AI Tools on Architecture in 2024 (and Beyond).” Published December 6, 2023. Accessed November 15, 2024, at https://www.archdaily.com/1009545/the-impact-of-ai-tools- on-architecture-in-2024-and-beyond.
- Wiles, Will. “Architects Can Rest Easy That AI Isn’t Coming for Their Jobs Just Yet.” Published November 16, 2022. Accessed November 12, 2024, at https://www.dezeen.com/2022/11/16/architects-ai-dall- e-midjourney-opinion/.
- Zierock, Benjamin, and Asmar Jungblut. “Leveraging Prompts for Improving AI-Powered Customer Service Platforms: A Case Study of Chat GPT and Midjourney.” Published March, 2023. Accessed No¬vember 26, 2024. https://doi.org/10.13140/RG.2.2.17800.29441.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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