UNIT 2 REFLECTION

UNIT 2


The choice to make architects and designers my main target audience for this piece was in direct correlation with the fact that AI will be impacting our discipline much further in the not-so-distant future. Also, many current architects are taking a stand of their own when it comes to computational design mechanics and any possible applications they could have for their own work. Words often have a variety of tones and meanings when used by architects, taking on a more graphical aspect and becoming pieces of design in and of themselves. This notion for me acts as a very diagrammatic graphical approach when applied to classical rhetoric methodologies, which can, in some cases, be a little confusing. It is for this reason I thought it best to leave all written words behind and construct a collection of three proposed realities diagrams, pertaining to the evolution of the architectural design process: drafting, digital drafting, and, finally, AI computing. This artifact in a linear directionality simply shows the proposed path in which our discipline travels--not a defining future, but rather just food for thought.





AI has entered the spotlight in the world of architecture more than it ever has in the past few decades, but it’s the overwhelming interest by countless other disciplines and extraneous fields of study that make this topic unique. We are on the brink of something new and unprecedented, with relatively little understood about what social, political, environmental, and technological implications it could have for our environment. There are countless sources, claims, and arguments on the negative and positive changes AI could bring to the built and computational environment, leaving expansive room for new research and growth on almost all fronts. My own research pertains to the level at which AI is implemented into the design and physical construction methods that are being used currently and in the future of architecture and whether the human aspect can fit into this computational equation. This area of research can still undergo much development, as multiple test groups would greatly increase understanding we have of AI human symbiosis in the field of design. I conducted further research on the ways in which AI is developed, and how different methods of AI insertion into current design software can better or worsen workflow for architects and designers.

My initial pitch definitely caused some levels of interest within the architecture community at Syracuse University, but not widespread interest, as the physical manifestation of the graphic was only small 8 ½- inch by 11-inch paper sheets hung around my building. There was also no real way to measure whether more people were understanding the message portrayed in the image as the work is entirely anonymous. Either way, I still got a collection of comments from colleagues interested in the proposed problem, which led me to believe that more individuals pondered it for a short while.

The discussion of AI insertion in the architectural design practice could be a lifetime of research, development, and refinement, possibly never having a true end because of the continuously evolving nature of the subject. I hope to further research these parameters, by means of physical fabrication of AI-sourced and -developed design, and start to understand their necessities and practicalities in our environment. In reality, these methods are more likely to be our future than any other tool we have currently, stressing the need for a more in-depth understanding of AI machines and their proposed positive and negative outcomes.

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