Advancing rigorous and practical scholarship in AI governance, accountability, and oversight
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About the Journal
AI Governance Review is a peer-reviewed, digitally native journal dedicated to the governance of artificial intelligence systems, with a particular focus on large language models and advanced AI deployments. The journal bridges academic research, industry practice, and policy analysis to address how AI systems are governed across their full lifecycle.
The Review prioritizes work that translates ethical principles and regulatory requirements into operational governance mechanisms. It serves researchers, practitioners, auditors, and decision-makers seeking credible, citable insight into how AI systems are monitored, controlled, and held accountable in real-world contexts.
Editorial Principles
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Transparent and documented peer review
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Persistent, citable identifiers (DOIs via Zenodo)
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Quarterly publication cycle
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Clear ethics, source, and conflict policies
Scope and Article Tracks
AI Governance Review is a peer-reviewed journal dedicated to high-impact research and professional analysis on governance for artificial intelligence systems.
We publish work in these core areas:
Governance Frameworks
Lifecycle governance models, accountability structures, escalation mechanisms, and organizational oversight architectures.
Telemetry & Oversight Methods
Drift detection, integrity metrics, audits, monitoring systems, and governance instrumentation.
Use Case Studies
Empirical and analytical examinations of AI deployments, including successes, failures, and near-misses.
Standards, Guidelines & Regulation
Analysis of ISO, NIST, EU AI Act, sector-specific standards, and regulatory implementation challenges.
Applied Tools & Methods
Practical governance tools, templates, audits, and workflows that support responsible AI deployment.
Editorial and Review Model
AI Governance Review operates under a Transparent AI-Augmented Review model. Submissions undergo an initial AI-assisted screening for quality, citation integrity, and factual coherence, followed by expert human peer review conducted by subject-matter specialists aligned to each track.
AI systems used in the review process operate under strict non-retention and non-training guarantees. Final editorial decisions are made exclusively by human editors. Every published article includes a Peer Review and Governance Disclosure detailing the review process.
Publication and Citation
Accepted articles are assigned persistent DOIs and published as part of quarterly journal volumes. All works are citable, archived, and released under clear licensing terms that preserve author rights while supporting scholarly reuse.
AI Governance Review is committed to maintaining a durable academic record while remaining responsive to the pace of change in AI governance practice.
Ethics, Privacy, and Author Rights
The journal is governed by formal policies covering data protection, AI use, authorship rights, and review transparency. Authors retain full copyright to their work. Submissions are never used to train AI models, and all review activities are conducted within controlled, auditable environments.
Detailed policies are available in the Legal and Ethics section of the journal.
Get Involved
Authors
We welcome submissions from researchers and practitioners across disciplines. Please review our Author Guidelines before submitting.
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Reviewers
AI Governance Review maintains a curated roster of expert reviewers. Qualified professionals and scholars are invited to participate in the peer review process.
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Readers
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