TY - GEN
T1 - Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
AU - Habiba, Umm-E
AU - Bogner, Justus
AU - Wagner, Stefan
PY - 2022
Y1 - 2022
N2 - With the recent proliferation of artificial intelligence systems, there has been a surge in the demand for explainability of these systems. Explanations help to reduce system opacity, support transparency, and increase stakeholder trust. In this position paper, we discuss synergies between requirements engineering (RE) and Explainable AI (XAI). We highlight challenges in the field of XAI, and propose a framework and research directions on how RE practices can help to mitigate these challenges.
AB - With the recent proliferation of artificial intelligence systems, there has been a surge in the demand for explainability of these systems. Explanations help to reduce system opacity, support transparency, and increase stakeholder trust. In this position paper, we discuss synergies between requirements engineering (RE) and Explainable AI (XAI). We highlight challenges in the field of XAI, and propose a framework and research directions on how RE practices can help to mitigate these challenges.
UR - http://www.scopus.com/inward/record.url?scp=85142213263&partnerID=8YFLogxK
U2 - 10.1109/REW56159.2022.00038
DO - 10.1109/REW56159.2022.00038
M3 - Conference contribution
T3 - Proceedings of the IEEE International Conference on Requirements Engineering
SP - 162
EP - 165
BT - Proceedings - 30th IEEE International Requirements Engineering Conference Workshops, REW 2022
A2 - Knauss, E.
A2 - Mussbacher, G.
A2 - Arora, C.
A2 - Bano, M.
A2 - Schneider, J.-G.
PB - IEEE Computer Society
T2 - 30th IEEE International Requirements Engineering Conference Workshops, REW 2022
Y2 - 15 August 2022 through 19 August 2022
ER -