Explainable AI for Designers

Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation

Zhu, Jichen (Drexel University)
Liapis, Antonios (University of Malta)
Risi, Sebastian (IT University of Copenhagen)
Bidarra, Rafael (TU Delft Computer Graphics and Visualisation)
Michael Youngblood, G. (Palo Alto Research Center)

2018

Growing interest in eXplainable Artificial Intelligence (XAI) aims to make AI and machine learning more understandable to human users. However, most existing work focuses on new algorithms, and not on usability, practical interpretability and efficacy on real users. In this vision paper, we propose a new research area of eXplainable AI for Designers (XAID), specifically for game designers. By focusing on a specific user group, their needs and tasks, we propose a human-centered approach for facilitating game designers to co-create with AI/ML techniques through XAID. We illustrate our initial XAID framework through three use cases, which require an understanding both of the innate properties of the AI techniques and users' needs, and we identify key open challenges.

Explainable artificial intelligence
Game design
Human-computer interaction
Machine learning
Mixed-initiative co-creation

http://resolver.tudelft.nl/uuid:9277f8c9-a071-46c7-91ca-4c5849080f91

https://doi.org/10.1109/CIG.2018.8490433

IEEE, Piscataway, NJ

2019-04-15

978-1-5386-4360-0

2018 IEEE Conference on Computational Intelligence and Games ( CIG): Proceedings

14th IEEE Conference on Computational Intelligence and Games, CIG 2018, 2018-08-14 → 2018-08-17, Maastricht, Netherlands

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public

Institutional Repository

conference paper

© 2018 Jichen Zhu, Antonios Liapis, Sebastian Risi, Rafael Bidarra, G. Michael Youngblood