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Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
June 03, 2022 Β· Declared Dead Β· π 2022 IEEE 30th International Requirements Engineering Conference Workshops (REW)
"No code URL or promise found in abstract"
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Authors
Umm-e-Habiba, Justus Bogner, Stefan Wagner
arXiv ID
2206.01507
Category
cs.SE: Software Engineering
Cross-listed
cs.AI,
cs.LG
Citations
19
Venue
2022 IEEE 30th International Requirements Engineering Conference Workshops (REW)
Last Checked
4 months ago
Abstract
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.
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