About the Journal

Intelligent systems, deployed and accountable.

Artificial Intelligence and Digital Technology (AIDT) is a peer-reviewed, open-access journal on artificial intelligence and the digital technologies built around it.

It publishes methods, systems and evaluations that move AI from benchmark to deployment, with attention to reliability, governance and human impact.

Monthly
Publication Frequency
Open Access
CC BY 4.0 License
< 35 Days
Time to First Decision
Double-Blind
Peer Review Process
Focus and Scope

AIDT covers machine learning and deep learning, generative models, data infrastructure, edge and cloud computing, cybersecurity, human-computer interaction and AI governance.

1. Machine Learning
  • Deep Learning: architectures and training
  • Generative Models: text, image and audio
  • Reinforcement Learning: decision and control
  • Representation Learning: embeddings and transfer
  • Evaluation: benchmarks and robustness
2. Systems & Data
  • Data Engineering: pipelines and quality
  • Distributed Training: scale and efficiency
  • Edge Computing: latency and power
  • MLOps: deployment and monitoring
  • Storage & Query: indexing at scale
3. Trust & Security
  • Adversarial Robustness: attacks and defences
  • Privacy: differential privacy and federation
  • Explainability: attribution and audits
  • Fairness: bias measurement and mitigation
  • Safety: alignment and evaluation
4. Applications & Governance
  • Healthcare AI: clinical decision support
  • Industry AI: vision, prediction and control
  • Language Technology: assistants and retrieval
  • Regulation: standards and compliance
  • Human Factors: interaction and trust
Why Publish with AIDT?
01
Rigorous Peer Review Double-blind assessment by subject specialists.
02
Prompt Decisions Clear timelines from submission to first decision.
03
Global Discoverability Open access with index registration.
04
Permanent Archiving Complete article-level preservation.
Editorial Policies & Ethics
  • Open Access: AIDT publishes articles under the Creative Commons Attribution (CC BY 4.0) license.
  • Publication Ethics: We strictly adhere to the COPE (Committee on Publication Ethics) guidelines regarding plagiarism, patient consent, and data integrity.
  • APC & Withdrawal Policy: Editorial, administrative, and review resources are committed immediately upon manuscript processing. As such, Article Processing Charges (APCs) are strictly non-refundable once the editorial workflow or peer-review process has commenced, should the author(s) request withdrawal due to personal, institutional, or other non-publisher-related reasons.
  • Submission: Manuscripts must be submitted via our Online Submission System. Please review the Author Guidelines before submission.
Indexing & Archiving

Indexed and abstracted in the major international databases for the field. Full indexing records are maintained on the journal publication page.

Contact Editorial Office

Editorial Office, Artificial Intelligence and Digital Technology
SOAP Publishing
service@soapubs.com