TY - GEN

T1 - On Authorship in the Age of Generative Architectural Design

T2 - DesAIgn 2021 : International Conference on the Impact of Artificial Intelligence on Contemporary Design

AU - Fagan, Des

N1 - This conference invites designers, theoreticians, AI developers and the high-tech industry members to explore the different applications used in AI systems in the field of design and to examine their present and future potential implications. Relevant topics for the conference include, but are not limited to, the following questions: • What are the new opportunities and threats facing designers vis-a-vis the use of artificial intelligence? • What is the role of the designer in the age of AI? In what way is his/her role changing? • How does the politics behind AI systems influence design products? • What happens when humans are excluded from design processes that take part autonomously between machines? • To what extent can machines be autonomous in the design process? Can machines perform creative processes in design? • Will AI’s entry into the design realm redefine the design discipline and will it blur its distinction from other domains? • How can the use of AI in design be channelled to socially beneficial design? • What is the impact of AI on design Aesthetics?

PY - 2021/4/6

Y1 - 2021/4/6

N2 - The paper presents a comprehensive analysis of all sources of information relating to authorship in the context of generative or computer automated architectural design, structured as narrative, setting the historical, contemporary and future context on ownership and intellectual property. The work features the importance of pattern identification as a central focus in the development of the architect’s skillset including medieval, gothic and modernist styles and compares these to the evolution of computing in methods of the same. The work goes on to refer to modern and developing areas of research interest in the areas of Machine Learning and Generative Adversarial Network methods for automated design. The research references a series of existing case studies to provoke debate on authenticity and intellectual property in design, including: Bernard Cache’s Table Objectile – An experiment into mass customisation by computing to incrementally iterate table design to provide multiple ‘originals’; Greg Lynn’s series of 99 teapots for Alessi, a reflection on cost and numerical rarity; Rubin and Riehl’s musical algorithm software, capable of generating 300,000 melodies each second, creating a catalogue of 68 billion 8-note melodies then copyrighted and Stanislas Chaillou’s work on generative floor plans and the impact of intellectual property on the dataset.

AB - The paper presents a comprehensive analysis of all sources of information relating to authorship in the context of generative or computer automated architectural design, structured as narrative, setting the historical, contemporary and future context on ownership and intellectual property. The work features the importance of pattern identification as a central focus in the development of the architect’s skillset including medieval, gothic and modernist styles and compares these to the evolution of computing in methods of the same. The work goes on to refer to modern and developing areas of research interest in the areas of Machine Learning and Generative Adversarial Network methods for automated design. The research references a series of existing case studies to provoke debate on authenticity and intellectual property in design, including: Bernard Cache’s Table Objectile – An experiment into mass customisation by computing to incrementally iterate table design to provide multiple ‘originals’; Greg Lynn’s series of 99 teapots for Alessi, a reflection on cost and numerical rarity; Rubin and Riehl’s musical algorithm software, capable of generating 300,000 melodies each second, creating a catalogue of 68 billion 8-note melodies then copyrighted and Stanislas Chaillou’s work on generative floor plans and the impact of intellectual property on the dataset.

KW - artificial intelligence

KW - architecture

KW - authorship

KW - intellectual property

KW - generative

KW - machine learning

KW - pix 2 pix

KW - CNN

M3 - Conference contribution/Paper

BT - DesAIgn 2021 Conference Proceedings

Y2 - 25 May 2021 through 25 May 2021

ER -