Workshop on explainable AI in automated driving

Meteier, Quentin (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Capallera, Marine (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Angelini, Leonardo (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Mugellini, Elena (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Abou Khaled, Omar (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Carrino, Stefano (School of Engineering – HE-Arc Ingénierie, HES-SO // University of Applied Sciences Western Switzerland) ; de Salis, Emmanuel (School of Engineering – HE-Arc Ingénierie, HES-SO // University of Applied Sciences Western Switzerland) ; Galland, Stéphane (Univ. Bourgogne, Franche-Comté, UTBM, Belfort, France) ; Boll, Susanne (University of Oldenvurg, Oldenburg, Germany)

With the increasing use of automation, users tend to delegate more tasks to the machines. Such complex systems are usually developed with “black box” Artificial Intelligence (AI), which makes these systems difficult to understand for the user. This assumption is particularly true in the field of automated driving since the level of automation is constantly increasing via the use of state-of-the-art AI solutions. We believe it is important to investigate the field of Explainable AI (XAI) in the context of automated driving since interpretability and transparency are key factors for increasing trust and security. In this workshop, we aim at gathering researchers and industry practitioners from different fields to brainstorm about XAI with a special focus on human-vehicle interaction. Questions like “what kind of explanation do we need”, “which is the best trade-off between performance and explainability” and “how granular should the explanations be” will be addressed in this workshop.


Keywords:
Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
HE-Arc Ingénierie
Institute:
HumanTech - Technology for Human Wellbeing Institute
Publisher:
Utrecht, Netherlands, 22-25 September 2019
Date:
2019-09
Utrecht, Netherlands
22-25 September 2019
Pagination:
6 p.
Published in:
Proceedings of the 11th International Conferecne on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI'19, 22-25 September 2019, Utrecht, Netherlands
DOI:
ISBN:
9781450369206
External resources:
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Note: The status of this file is: restricted


 Record created 2020-01-14, last modified 2020-01-14

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