⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

May 27, 2026Open Access

The Bus Factor of XAI: Community Risk in Critical Open Source Explainability Tools

Oleh Ivchenko Iryna Ivchenko

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research investigates the concept of the Bus Factor in the context of open source explainability tools for artificial intelligence, examining community risks.
Analyzed critical explainability tools in open source environments.
Evaluated community contributions and dependencies related to the Bus Factor.
Assessed implications for sustainability and development of these tools.
Identified tools with low Bus Factor, indicating high community risk.
Highlighted key dependencies on individual contributors.
Suggested measures for improving community resilience in these projects.

Implication

Research article explores community risk in critical open source explainability tools, suggesting implications for development.

Abstract

Research article: The Bus Factor of XAI: Community Risk in Critical Open Source Explainability Tools

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Ivchenko et al. (2026) studied this question.

synapsesocial.com/papers/6a192e95fab5b468c4417bf2 https://doi.org/10.5281/zenodo.20410657

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1The Bus Factor of XAI: Community Risk in Critical Open Source Explainability ToolsOriginal Research · 2026
2Supply Chain Security in Open Source AI: Auditing XAI Tool DependenciesOriginal Research · 2026
3Supply Chain Security in Open Source AI: Auditing XAI Tool DependenciesOriginal Research · 2026
4Community Governance Models for Open Source AI Projects: What Makes XAI Projects TrustworthyOriginal Research · 2026
5License Implications for XAI Attribution: Legal Analysis of Open Source Explanation DependenciesOriginal Research · 2026

License Implications for XAI Attribution: Legal Analysis of Open Source Explanation Dependencies2026
Reproducibility in XAI Research: Open Source Benchmarks for Explanation Quality2026
Trusted Federated Learning XAI: Open Source for Privacy-Preserving Explanations2026

More from Odessa National Polytechnic University