Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner
The promise of artificial intelligence (AI), in particular its latest developments in deep learning, has beeninfluencing all kinds of disciplines such as engineering, business, agriculture, and humanities. More recentlyit also includes disciplines that were “reserved” to humans such as art and desig...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
European Alliance for Innovation (EAI)
2019-04-01
|
Series: | EAI Endorsed Transactions on Creative Technologies |
Subjects: | |
Online Access: | https://eudl.eu/pdf/10.4108/eai.26-4-2019.162609 |
_version_ | 1818614841281085440 |
---|---|
author | Kevin German Marco Limm Matthias Wölfel Silke Helmerdig |
author_facet | Kevin German Marco Limm Matthias Wölfel Silke Helmerdig |
author_sort | Kevin German |
collection | DOAJ |
description | The promise of artificial intelligence (AI), in particular its latest developments in deep learning, has beeninfluencing all kinds of disciplines such as engineering, business, agriculture, and humanities. More recentlyit also includes disciplines that were “reserved” to humans such as art and design. While there is a strongdebate going on if creativity is profoundly human, we want to investigate if creativity can be enhanced byAI—not replaced. To be an inspiring co-creation partner by suggesting unexpected design variations and bylearning the designer’s taste. To do so we adopted AI algorithms, which can be trained by a small sample setof shapes of a given object, to propose novel shapes. The evaluation of our proposed methods revealed thatit 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. |
first_indexed | 2024-12-16T16:24:25Z |
format | Article |
id | doaj.art-06b06351d0c7412e8db6d597bef6f47e |
institution | Directory Open Access Journal |
issn | 2409-9708 |
language | English |
last_indexed | 2024-12-16T16:24:25Z |
publishDate | 2019-04-01 |
publisher | European Alliance for Innovation (EAI) |
record_format | Article |
series | EAI Endorsed Transactions on Creative Technologies |
spelling | doaj.art-06b06351d0c7412e8db6d597bef6f47e2022-12-21T22:24:49ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Creative Technologies2409-97082019-04-0161910.4108/eai.26-4-2019.162609Towards Artificial Intelligence Serving as an Inspiring Co-Creation PartnerKevin German0Marco Limm1Matthias Wölfel2Silke Helmerdig3School of Design, Pforzheim University, Pforzheim, GermanySchool of Design, Pforzheim University, Pforzheim, GermanyFaculty of Computer Science and Business Information Systems, Karlsruhe University of Applied Sciences, Karlsruhe, GermanySchool of Design, Pforzheim University, Pforzheim, GermanyThe promise of artificial intelligence (AI), in particular its latest developments in deep learning, has beeninfluencing all kinds of disciplines such as engineering, business, agriculture, and humanities. More recentlyit also includes disciplines that were “reserved” to humans such as art and design. While there is a strongdebate going on if creativity is profoundly human, we want to investigate if creativity can be enhanced byAI—not replaced. To be an inspiring co-creation partner by suggesting unexpected design variations and bylearning the designer’s taste. To do so we adopted AI algorithms, which can be trained by a small sample setof shapes of a given object, to propose novel shapes. The evaluation of our proposed methods revealed thatit 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.https://eudl.eu/pdf/10.4108/eai.26-4-2019.162609inspirational aihuman-machine co-designartificial neural networkgenetic algorithmdesign process |
spellingShingle | Kevin German Marco Limm Matthias Wölfel Silke Helmerdig Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner EAI Endorsed Transactions on Creative Technologies inspirational ai human-machine co-design artificial neural network genetic algorithm design process |
title | Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner |
title_full | Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner |
title_fullStr | Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner |
title_full_unstemmed | Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner |
title_short | Towards Artificial Intelligence Serving as an Inspiring Co-Creation Partner |
title_sort | towards artificial intelligence serving as an inspiring co creation partner |
topic | inspirational ai human-machine co-design artificial neural network genetic algorithm design process |
url | https://eudl.eu/pdf/10.4108/eai.26-4-2019.162609 |
work_keys_str_mv | AT kevingerman towardsartificialintelligenceservingasaninspiringcocreationpartner AT marcolimm towardsartificialintelligenceservingasaninspiringcocreationpartner AT matthiaswolfel towardsartificialintelligenceservingasaninspiringcocreationpartner AT silkehelmerdig towardsartificialintelligenceservingasaninspiringcocreationpartner |