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The Impact of Artificial Intelligence on Graphic Design: Exploring the Challenges and Possibilities of AI-Driven Autonomous Branding

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The Impact of Artificial Intelligence on Graphic Design: Exploring the Challenges and Possibilities of AI-Driven Autonomous Branding. / Engawi, Duha; Richards, Daniel; Gere, Charlie.
IASDR. International Association of Societies of Design Research: Springer, 2021.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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@inproceedings{ef8bccd816214638b28010974b284e8b,
title = "The Impact of Artificial Intelligence on Graphic Design: Exploring the Challenges and Possibilities of AI-Driven Autonomous Branding",
abstract = "Artificial intelligence (AI){\textquoteright}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.",
author = "Duha Engawi and Daniel Richards and Charlie Gere",
year = "2021",
month = dec,
day = "5",
language = "English",
booktitle = "IASDR",
publisher = "Springer",

}

RIS

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 -