Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - The Impact of Artificial Intelligence on Graphic Design
T2 - Exploring the Challenges and Possibilities of AI-Driven Autonomous Branding
AU - Engawi, Duha
AU - Richards, Daniel
AU - Gere, Charlie
PY - 2021/12/5
Y1 - 2021/12/5
N2 - Artificial intelligence (AI)’s potential impact on graphic design has stimulated a range of questions and concerns from both design practitioners and academics about the future of AI-driven designs. For instance, how will AI tackle issues associated with ethics, cultural acceptance, and creativity, and what are the possibilities of having autonomous AI-driven brands? This study investigates the potential impact of AI on graphic designers, including an assessment of how to use AI as a self-governed system in branding rather than an application tool exploring new opportunities associated with data and algorithms. Speculative co-design methodology was the main approach to initiating provocative discussions and debates through semi-structured interviews and co-design workshop. The study was conducted in Saudi Arabia with participants from academia and the industry. The findings suggest alternating human–machine entanglements around self-driven AI brands, which will enable designers and researchers to explore alternative futures in this field.
AB - Artificial intelligence (AI)’s potential impact on graphic design has stimulated a range of questions and concerns from both design practitioners and academics about the future of AI-driven designs. For instance, how will AI tackle issues associated with ethics, cultural acceptance, and creativity, and what are the possibilities of having autonomous AI-driven brands? This study investigates the potential impact of AI on graphic designers, including an assessment of how to use AI as a self-governed system in branding rather than an application tool exploring new opportunities associated with data and algorithms. Speculative co-design methodology was the main approach to initiating provocative discussions and debates through semi-structured interviews and co-design workshop. The study was conducted in Saudi Arabia with participants from academia and the industry. The findings suggest alternating human–machine entanglements around self-driven AI brands, which will enable designers and researchers to explore alternative futures in this field.
M3 - Conference contribution/Paper
BT - IASDR
PB - Springer
CY - International Association of Societies of Design Research
ER -