Systematic Literature Review on XAI Implementation in Banking, 2021-2025

A systematic literature review synthesizing 78 peer-reviewed studies and industry reports from 2021 to 2025. It investigates the gap between the technical promise of Explainable AI (XAI) and its operational deployment in the banking sector. The review was authored by Ntombikayise Betreace Tuge and published on figshare in May 2026.

Use Cases

• Identify technical and organizational barriers to XAI adoption based on the review's synthesis of 78 studies.
• Analyze the accuracy-interpretability trade-off in financial AI models based on the described technical challenges.
• Design context-aware explanation systems for banking workflows based on the review's findings on socio-technical tensions.
• Develop standardized evaluation frameworks for XAI in regulated industries based on the identified lack of such frameworks.

Strengths

• Adheres to the PRISMA 2020 methodology for systematic reviews.
• Synthesizes findings from 78 distinct peer-reviewed studies and industry reports.
• Focuses on a specific five-year time range from 2021 to 2025.

Limitations

• The dataset is a 688.8 KB DOCX document, indicating a limited scope as a literature review rather than primary data.
• Row count and column-level documentation are absent; the content is textual analysis.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Systematic literature review following PRISMA 2020 methodology.

Time Range

2021-2025

Freshness

Last updated 2026-05-21 12:37:52; freshness should be verified.