Aims and Scope

Aims and Scope

The International Journal of Artificial Intelligence and Digital Innovation (IJAIDI) is an international, peer-reviewed, open-access scholarly journal dedicated to advancing high-quality research in artificial intelligence, intelligent computing, and digital innovation.

The journal provides an interdisciplinary forum for researchers, academics, engineers, technology professionals, policymakers, and practitioners to publish original research that contributes to the theoretical development, methodological advancement, responsible implementation, and practical application of artificial intelligence and emerging digital technologies.

IJAIDI seeks to bridge the gap between scientific theory and real-world application by publishing rigorous studies that demonstrate originality, methodological soundness, technical relevance, and meaningful academic or societal contribution.

The journal welcomes theoretical, empirical, experimental, computational, and applied research. Particular attention is given to studies that introduce new models, algorithms, frameworks, datasets, systems, evaluation methods, or evidence-based applications.

Core Areas of the Journal

The journal welcomes manuscripts addressing topics including, but not limited to, the following:

Artificial Intelligence and Intelligent Systems

  • Artificial intelligence theories, methods, models, and applications.
  • Machine learning and deep learning.
  • Generative artificial intelligence and foundation models.
  • Large language models and conversational systems.
  • Explainable and interpretable artificial intelligence.
  • Responsible, trustworthy, and human-centered artificial intelligence.
  • Expert systems and knowledge-based systems.
  • Hybrid intelligent systems.
  • Automated reasoning and decision-support systems.
  • Artificial general intelligence research and evaluation.

Data Science and Intelligent Analytics

  • Data science and advanced data analytics.
  • Big data processing and intelligent data management.
  • Data mining and knowledge discovery.
  • Predictive and prescriptive analytics.
  • Pattern recognition and statistical learning.
  • Intelligent information retrieval.
  • Data visualization and visual analytics.
  • Synthetic data generation and evaluation.
  • Data quality, governance, privacy, and security.
  • Computational intelligence and soft computing.

Computer Vision, Language, and Multimedia

  • Computer vision and image processing.
  • Object detection, recognition, and tracking.
  • Medical and scientific image analysis.
  • Natural language processing.
  • Speech recognition and language technologies.
  • Sentiment analysis and text mining.
  • Multimodal artificial intelligence.
  • Intelligent multimedia systems.
  • Human–computer interaction.
  • Augmented, virtual, and mixed-reality systems.

Robotics, Automation, and Smart Systems

  • Intelligent robotics and autonomous systems.
  • Industrial automation and intelligent control.
  • Autonomous vehicles and navigation.
  • Smart sensors and embedded intelligence.
  • Internet of Things and Artificial Intelligence of Things.
  • Edge intelligence and distributed artificial intelligence.
  • Cyber-physical systems.
  • Digital twins and intelligent simulation.
  • Smart cities and intelligent infrastructure.
  • Industry 4.0 and Industry 5.0 technologies.

Digital Innovation and Transformation

  • Digital transformation strategies and models.
  • Digital platforms and innovation ecosystems.
  • Technology adoption and digital maturity.
  • Digital entrepreneurship and innovation management.
  • Intelligent business processes.
  • Artificial intelligence-supported decision-making.
  • Digital governance and public-sector innovation.
  • Financial technology and intelligent financial systems.
  • Digital supply chains and smart logistics.
  • Organizational and institutional impacts of emerging technologies.

Cybersecurity and Emerging Technologies

  • Artificial intelligence for cybersecurity.
  • Cyber-threat detection and response.
  • Privacy-preserving artificial intelligence.
  • Adversarial machine learning.
  • Blockchain and distributed-ledger applications.
  • Cloud, edge, and distributed computing.
  • Quantum computing and quantum machine learning.
  • Secure and trustworthy digital systems.
  • Emerging computing architectures.
  • Ethical hacking research conducted within lawful and responsible frameworks.

Interdisciplinary Applications of Artificial Intelligence

The journal welcomes technically and methodologically rigorous studies applying artificial intelligence and digital technologies in areas such as:

  • Education and intelligent learning environments.
  • Healthcare, medicine, and biomedical sciences.
  • Engineering, manufacturing, and construction.
  • Business, management, economics, and finance.
  • Agriculture, food systems, and environmental sustainability.
  • Energy systems and climate-related applications.
  • Transportation and urban development.
  • Media, communication, and digital culture.
  • Social sciences and humanities.
  • Law, governance, and public policy.

Interdisciplinary manuscripts must demonstrate a clear contribution to artificial intelligence, intelligent computing, or digital innovation. Studies that merely use common software or basic digital tools without providing a meaningful technological, methodological, or theoretical contribution are outside the journal’s scope.

Ethical, Social, and Policy Dimensions

IJAIDI also welcomes critical and evidence-based research concerning:

  • Ethics and governance of artificial intelligence.
  • Algorithmic fairness, bias, transparency, and accountability.
  • Privacy, surveillance, and data protection.
  • Human–AI interaction and collaboration.
  • Social, cultural, legal, and economic impacts of artificial intelligence.
  • Artificial intelligence regulation and public policy.
  • Digital inclusion and accessibility.
  • Sustainable and environmentally responsible computing.
  • Risks, safety, reliability, and societal implications of intelligent systems.

Types of Manuscripts

The journal considers the following categories of scholarly manuscripts:

  • Original research articles.
  • Review articles.
  • Systematic reviews and meta-analyses.
  • Technical and methodological papers.
  • Applied research studies.
  • Comparative and evaluation studies.
  • Case studies with substantial scholarly contribution.
  • Short communications reporting significant preliminary findings.
  • Perspectives and scholarly commentaries invited or approved by the editorial office.

All submissions must present a clear research problem, appropriate methodology, transparent analysis, accurate reporting, and conclusions supported by the evidence provided.

Manuscripts Outside the Journal’s Scope

The journal normally does not consider:

  • Manuscripts unrelated to artificial intelligence or digital innovation.
  • Purely descriptive studies without sufficient analysis or original contribution.
  • General opinion articles unsupported by scholarly evidence.
  • Promotional or commercially oriented content.
  • Manuscripts presenting only routine software use.
  • Studies based solely on elementary statistical analysis without a clear technological contribution.
  • Replications that do not provide meaningful validation, extension, or new insight.
  • Manuscripts containing unverified, fabricated, or AI-generated data or references.
  • Studies that fail to comply with applicable research and publication ethics.
  • Manuscripts whose primary focus falls outside the journal’s declared scope.

International and Interdisciplinary Orientation

IJAIDI welcomes contributions from researchers and institutions worldwide. The journal encourages international collaboration, interdisciplinary research, methodological diversity, and studies addressing both global and context-specific challenges.

Editorial decisions are based on scholarly quality, originality, methodological rigor, relevance to the journal’s scope, ethical compliance, and potential contribution to knowledge. Decisions are made without discrimination based on nationality, institutional affiliation, gender, religion, ethnicity, political opinion, or geographic location.

Journal Objectives

The journal aims to:

  • Advance theoretical and applied knowledge in artificial intelligence and digital innovation.
  • Disseminate original, reliable, and methodologically rigorous research.
  • Promote responsible and ethical development of intelligent technologies.
  • Encourage interdisciplinary and international scientific collaboration.
  • Support the transfer of research findings into meaningful practical applications.
  • Facilitate scholarly dialogue among researchers, practitioners, institutions, and policymakers.
  • Enhance the accessibility and global visibility of research through open-access publishing.
  • Contribute to sustainable, inclusive, and human-centered digital transformation.