arXiv Open Access 2025

XABPs: Towards eXplainable Autonomous Business Processes

Peter Fettke Fabiana Fournier Lior Limonad Andreas Metzger Stefanie Rinderle-Ma +1 lainnya

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Abstrak

Autonomous business processes (ABPs), i.e., self-executing workflows leveraging AI/ML, have the potential to improve operational efficiency, reduce errors, lower costs, improve response times, and free human workers for more strategic and creative work. However, ABPs may raise specific concerns including decreased stakeholder trust, difficulties in debugging, hindered accountability, risk of bias, and issues with regulatory compliance. We argue for eXplainable ABPs (XABPs) to address these concerns by enabling systems to articulate their rationale. The paper outlines a systematic approach to XABPs, characterizing their forms, structuring explainability, and identifying key BPM research challenges towards XABPs.

Topik & Kata Kunci

cs.SE cs.AI cs.MA

Penulis (6)

Peter Fettke

Fabiana Fournier

Lior Limonad

Andreas Metzger

Stefanie Rinderle-Ma

Barbara Weber

Format Sitasi

APA MLA BibTeX

Fettke, P., Fournier, F., Limonad, L., Metzger, A., Rinderle-Ma, S., Weber, B. (2025). XABPs: Towards eXplainable Autonomous Business Processes. https://arxiv.org/abs/2507.23269

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓