Research Article
Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner
@ARTICLE{10.4108/eai.26-4-2019.162609, author={Kevin German and Marco Limm and Matthias W\o{}lfel and Silke Helmerdig}, title={Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={6}, number={19}, publisher={EAI}, journal_a={CT}, year={2019}, month={4}, keywords={inspirational AI, human-machine co-design, artificial neural network, genetic algorithm, design process}, doi={10.4108/eai.26-4-2019.162609} }
- Kevin German
Marco Limm
Matthias Wölfel
Silke Helmerdig
Year: 2019
Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner
CT
EAI
DOI: 10.4108/eai.26-4-2019.162609
Abstract
The promise of artificial intelligence (AI), in particular its latest developments in deep learning, has been influencing all kinds of disciplines such as engineering, business, agriculture, and humanities. More recently it also includes disciplines that were “reserved” to humans such as art and design. While there is a strong debate going on if creativity is profoundly human, we want to investigate if creativity can be enhanced by AI—not replaced. To be an inspiring co-creation partner by suggesting unexpected design variations and by learning the designer’s taste. To do so we adopted AI algorithms, which can be trained by a small sample set of shapes of a given object, to propose novel shapes. The evaluation of our proposed methods revealed that it can be used by trained designers as well as non-designers to support the design process in different phases and that it could lead to novel designs not intended/foreseen. Besides the potentials of AI, we also point out and discuss moral threads caused by the latest developments in AI with respect to the creative sector.
Copyright © 2019 Kevin German et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited