Artificial intelligence (AI) is increasingly influencing art and design, with tools like ChatGPT, DALL.E, and Midjourney transforming the way designers create visual content from written descriptions. Since its launch, AI-powered systems have sparked widespread interest and expanded production practices in design and artistic creativity. This transition has ushered in a new era of co-authorship, in which human designers and AI systems collaborate to reshape the boundaries of design. The introduction of language-based diffusion models has enabled a harmonic integration of language and visual elements, resulting in creative design paradigms. However, this incorporation of AI raises serious concerns about the cultural and social relevance of AI-generated designs, which may become estranged from human contexts if heavily dependent on algorithms. The representation of architectural knowledge is also evolving, as AI allows for a return to textual and mathematical tools, rather than traditional visual representation methods. This transition creates substantial challenges and possibilities for architectural education, particularly in design studios. The integration of AI into design curricula has the potential to reshape architectural education, necessitating that educators adapt to technology advances. This study investigates these developments, providing insights into the evolving landscape of design pedagogy in the age of AI and contributing to the continuing debate about the role of AI in design and architecture.
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