AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis
A recent study published on arXiv (2607.25368) explores the intersection of AI adoption, cybersecurity governance, and the limitations faced by public-sector institutions as a cohesive issue. The research introduces a typology consisting of seven domains, pinpointing ten distinct causes of AI-related cyber governance failures based on an analysis of public-sector institutions. Additionally, it outlines a model with three pathways that illustrates the interplay and mutual reinforcement of failures in accountability, operational resilience, and compliance.
Key facts
- Paper ID: arXiv:2607.25368
- Announce Type: new
- Proposes a seven-domain typology
- Identifies ten specific AI-driven cyber governance failure causes
- Presents a three-pathway failure model
- Failure pathways: accountability, operational resilience, compliance
- Grounded in public-sector institutional analysis
- Addresses gap in existing literature
Entities
Institutions
- arXiv