Bright Publisher

A scholarly publisher focused on high-integrity peer review, transparent editorial practice, and practical research impact across technology, business, health, law, and society.

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⚙️ Engineering and Technology › 🧠 Artificial Intelligence and Data Science › 🏥 Health and Medical Sciences › 💼 Business, Management and Economics › ⚖️ Law, Policy and Governance › 🎓 Education, Learning and Society › 🔐 Cybersecurity and Digital Trust › 🌐 Interdisciplinary Research ›

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About Bright Publisher

Bright Publisher is built for modern scholarly communication: clear author guidance, rigorous editorial checks, and production workflows that prioritize metadata quality, discoverability, and long-term archiving readiness. We apply integrity guardrails such as COI screening, plagiarism checks, AI-use disclosure, reviewer accountability, and transparent decision criteria.

Our goal is simple: help editorial teams publish research that is reproducible, citable, and useful. For authors, we emphasize predictable timelines and clear revision expectations. For editors, we provide operational support for reviewer engagement, policy enforcement, and publication consistency.

Publishing promiseFast, fair review

Editorial triage, scope checks, and reviewer matching designed to reduce avoidable delays.

IntegrityEthics-first

COI declarations, AI disclosure, and publication ethics aligned with common industry guidelines.

VisibilityIndexing-ready

Structured metadata, consistent article formats, and citation hygiene to support discoverability.

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Featured journals

Artificial Intelligence and Data Science

Artificial Intelligence in Learning

The Artificial Intelligence in Learning (AIL) (E-ISSN: 3089-3690 | DOI Prefix: 10.63913/ail) is a peer-reviewed international open-access academic journal dedicated to advancing the understanding and application of artificial intelligence in education and learning environments. It publishes high-quality research articles, reviews, and technical reports that explore the development, implementation, and impact of AI-driven technologies in educational contexts. The journal serves as a platform for scholars, practitioners, and policymakers to share innovative findings, discuss emerging trends, and address challenges in AI-enhanced learning.