YAPAY ZEKÂ İLE KENTSEL KAMUSAL ALANLARIN YENİDEN OKUNMASI: ÜÇ İSTANBUL MEYDANI ÜZERİNE GÖRSEL BİR DENEYİM

Öz

Bu çalışma, yapay zekânın kentsel kamusal alanların yeniden okunmasındaki olanak ve sınırlarını İstanbul’un üç meydanı (Taksim, Bakırköy, Beşiktaş) üzerinden incelemektedir. Mevcut fotoğraflar ve harita görselleri kullanılarak yapay zeka aracılığıyla her meydan için alternatif tasarım senaryoları üretilmiş; çıktılar mekânsal organizasyon, kentsel süreklilik, kullanıcı deneyimi, malzeme/peyzaj dili ve sosyokültürel temsiller ölçütleriyle karşılaştırmalı olarak analiz edilmiştir. Bulgular, yapay zekânın bağlama özgü farklı öncelikler kurduğunu göstermektedir: Taksim’de düzen ve simetri öne çıkmış, ancak toplumsal hafıza nötrleşmiştir; Bakırköy’de yerel aidiyet ve yaşanabilirlik güçlenmiş; Beşiktaş’ta akış ve çok yönlü hareket baskın olmakla birlikte odak noktaları zayıflamıştır. Yöntem, görsel ve bağlamsal verilerin bütüncül kullanımına dayalı tekrarlanabilir bir değerlendirme çerçevesi sunmaktadır. Bununla birlikte, algoritmik estetik tercihler ve veri kapsamı temsil yanlılıklarına yol açabilir. Gelecek çalışmalar için katılımcı geri bildirim, çok zamanlı senaryolar ve çevresel/erişilebilirlik metrikleriyle sayısal doğrulama önerilmektedir. Yapay zekâ, tasarımcı yerine eleştirel bir ortak olarak konumlandırılmıştır.

Anahtar Kelimeler

• yapay zeka
• kentsel kamusal alan
• İstanbul meydanları
• tasarım senaryoları

Etik Beyan

Bu çalışma, akademik araştırma etiği ve bilimsel dürüstlük ilkeleri doğrultusunda yürütülmüştür. Etik kurul onayı gerektiren herhangi bir uygulamaya yer verilmemiş, insan katılımcılar veya kişisel veriler kullanılmamıştır. Veri toplama, analiz ve raporlama süreçlerinin hiçbir aşamasında etik ihlal yapılmamıştır.

REINTERPRETING URBAN PUBLIC SPACES THROUGH ARTIFICIAL INTELLIGENCE: A VISUAL EXPLORATION OF THREE ISTANBUL SQUARES

Öz

This study examines the capacities and limitations of artificial intelligence in the reinterpretation of urban public spaces through three Istanbul squares—Taksim, Bakırköy, and Beşiktaş. Using current photographs and map imagery, alternative design scenarios were generated via AI for each site; the outputs were comparatively analyzed against criteria of spatial organization, urban continuity, user experience, material/landscape language, and socio-cultural representations. Findings indicate that AI establishes context-specific priorities: in Taksim, order and symmetry prevail while social memory becomes neutralized; in Bakırköy, local belonging and livability are strengthened; in Beşiktaş, flow and multidirectional movement dominate, though focal points weaken. The method offers a repeatable evaluation framework grounded in the integrated use of visual and contextual data. Nevertheless, algorithmic aesthetic preferences and data scope may introduce representational biases. Future research should incorporate participant feedback, multi-temporal scenarios, and quantitative validation with environmental and accessibility metrics. AI is positioned not as a designer, but as a critical collaborator.

Anahtar Kelimeler

• artificial intelligence
• urban public space
• Istanbul squares
• design scenarios

Etik Beyan

This study was conducted in accordance with academic research ethics and integrity principles. No procedures requiring ethical approval were included, and no human participants or personal data were involved. Throughout the research process— including data collection, analysis, and presentation—no ethical violations were committed.

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