Welcome to the First International Workshop on Requirements Engineering for Explainable Systems (RE4ES)

被引:4
作者
Brunotte, Wasja [1 ]
Chazette, Larissa [1 ]
Kloes, Verena [2 ]
Knauss, Eric [3 ]
Speith, Timo [4 ]
Vogelsang, Andreas [5 ]
机构
[1] Leibniz Univ Hannover, Hannover, Germany
[2] TU Berlin, Berlin, Germany
[3] Chalmers Univ Gothenburg, Gothenburg, Sweden
[4] Saarland Univ, Saarbrucken, Germany
[5] Univ Cologne, Cologne, Germany
来源
29TH IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE WORKSHOPS (REW 2021) | 2021年
关键词
Explainability; Explainability Requirements; Explainable Artificial Intelligence; XAI; Explainable Systems; Explainble Software; Requirements Engineering;
D O I
10.1109/REW53955.2021.00028
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Welcome to the First International Workshop on Requirements Engineering for Explainable Systems (RE4ES), where we aim to advance requirements engineering (RE) for explainable systems, foster interdisciplinary exchange, and build a community. On the one hand, we believe that the methods and techniques of the RE community can add much value to explainability research. On the other hand, we have to ensure that we develop techniques fitted to the needs of other communities. This first workshop explores synergies between the RE community and other communities already researching explainability. To this end, we have based our agenda on a mix of paper presentations from authors of different domains, one keynote from industry and one from research, as well as interactive activities to stimulate lively discussions.
引用
收藏
页码:157 / 158
页数:2
相关论文
共 3 条
[1]   Explainability as a non-functional requirement: challenges and recommendations [J].
Chazette, Larissa ;
Schneider, Kurt .
REQUIREMENTS ENGINEERING, 2020, 25 (04) :493-514
[2]   Explainability as a Non-Functional Requirement [J].
Koehl, Maximilian A. ;
Bohlender, Dimitri ;
Baum, Kevin ;
Langer, Markus ;
Oster, Daniel ;
Speith, Timo .
2019 27TH IEEE INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE 2019), 2019, :363-368
[3]   What do we want from Explainable Artificial Intelligence (XAI)? - A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research [J].
Langer, Markus ;
Oster, Daniel ;
Speith, Timo ;
Hermanns, Holger ;
Kaestner, Lena ;
Schmidt, Eva ;
Sesing, Andreas ;
Baum, Kevin .
ARTIFICIAL INTELLIGENCE, 2021, 296