About the Journal

Aims and Scope

Sage Sphere in Artificial Intelligence (SSAI) is an international scientific journal aimed at establishing itself as a leading academic platform for the dissemination of original, rigorous, and unpublished research in the field of artificial intelligence, from an interdisciplinary perspective. The journal focuses on the generation, critical analysis, and circulation of theoretical, methodological, and empirical knowledge that contributes to the development, understanding, and innovation of intelligent systems, computational models, and AI-based solutions, with regional and global projection.

SSAI is published under an open-access, non-commercial, and no publication fee model, meaning that it does not charge article processing charges (APCs) or any fees associated with submission, editorial evaluation, peer review, editing, publication, or access to its content. All published articles are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), ensuring proper attribution, free dissemination of scientific knowledge, and responsible use of academic content.

Approach

Sage Sphere in Artificial Intelligence adopts an interdisciplinary approach that recognizes the complexity of artificial intelligence as a scientific, technological, and social phenomenon. The journal promotes the integration of theoretical, methodological, and epistemological perspectives from diverse fields of knowledge, fostering academic dialogue among disciplines such as computer science, data science, engineering, cognitive sciences, social sciences, law, education, economics, and digital technologies.

This approach encourages the development of research that connects computational innovation with its social, ethical, and practical implications, enabling a comprehensive understanding of the challenges and opportunities posed by artificial intelligence in contemporary contexts.

SSAI promotes contributions that integrate diverse conceptual and methodological frameworks, as well as studies that critically analyze technological advancements, algorithmic systems, and transformations driven by artificial intelligence that impact scientific development, economic systems, public policies, education, and society as a whole. The journal particularly values research addressing transparency, equity, sustainability, governance, and innovation in artificial intelligence.

Thematic Areas

The journal welcomes theoretical, experimental, and applied contributions in the following areas:

1. Fundamental Artificial Intelligence Technologies

  • Machine Learning and Deep Learning

  • Predictive models and neural networks

  • Supervised, unsupervised, and reinforcement learning

  • Data infrastructures and Big Data for AI systems

  • Data management, quality, traceability, and security

2. Emerging Artificial Intelligence and Advanced Technologies

  • Quantum artificial intelligence and hybrid computing

  • Artificial neuroscience and cognitive modeling

  • Brain–computer interfaces and neurocomputing

  • Artificial General Intelligence (AGI)

  • Integration of AI with cyber-physical systems

3. Intelligent Information Processing

  • Natural Language Processing (NLP)

  • Conversational systems, chatbots, and intelligent assistants

  • Generative AI models and automated content generation

  • Semantic analysis and machine translation

4. Intelligent Systems, Robotics, and Automation

  • Autonomous robotics and intelligent systems

  • AI-based industrial automation

  • Intelligent mobility and autonomous transportation systems

  • Human–machine interaction in intelligent environments

5. Applications of Artificial Intelligence

  • Artificial intelligence in education and personalized learning

  • AI in biotechnology, life sciences, and computational medicine

  • AI for environmental sustainability, climate change, and smart agriculture

  • AI in digital economy, commerce, and services

Cybersecurity and Artificial Intelligence

  • AI-based threat detection systems

  • Cyberattack prevention and digital resilience

  • Applications of AI in cybersecurity

  • Ethical aspects of algorithmic surveillance

6. Artificial Intelligence, Society, and Governance

  • Ethics, transparency, and algorithmic explainability

  • Governance, regulation, and public policies on artificial intelligence

  • Socioeconomic impact of automation and digital transformation

  • AI in law, justice, and computational legal analysis

7. Creative Artificial Intelligence and Digital Environments

  • Metaverse, virtual reality, and augmented reality driven by AI

  • Computational art and algorithmic creativity

  • Automated generation of artistic, musical, and audiovisual content

  • Copyright and ethics in AI-generated content.

    Open Access and No-Fee Policy

    Sage Sphere in Artificial Intelligence adopts an open-access model, ensuring free, immediate, and unrestricted access to all published content.

    The journal does not charge any fees for submission, evaluation, processing, or publication of manuscripts (Article Processing Charges – APCs), reaffirming its commitment to the democratization of scientific knowledge, academic equity, and the elimination of economic barriers for authors and readers.

    Publication Frequency

    The journal follows an annual publication frequency, structured under a continuous publication model. Within this framework, manuscripts are published individually and immediately within the corresponding volume once they have successfully completed the peer review process and all editorial stages, including copyediting, proofreading, and layout formatting.

    The editorial volume opens on January 1 and closes on December 31 of each year, ensuring the continuous updating of content throughout the annual cycle. This approach optimizes publication timelines, enhances the timely dissemination of research findings, and strengthens the visibility and impact of published articles within the academic community.

    The journal maintains continuous open calls for submissions, allowing for the ongoing reception of manuscripts without temporal restrictions, in alignment with the principles of open access, editorial dynamism, and efficient dissemination of scientific knowledge.

    Editorial Process and Evaluation Timeline

    The editorial process is conducted entirely in electronic format, following principles of quality, transparency, and best editorial practices. It includes the following stages and approximate timelines:

    Initial editorial screening: 7 to 15 days, aimed at verifying the manuscript’s alignment with the journal’s scope, compliance with editorial guidelines, quality of academic writing, and overall integrity.

    Double-blind peer review by external reviewers: 20 to 45 days, ensuring scientific rigor, originality, methodological validity, and academic relevance.

    Copyediting, proofreading, layout, and publication: 10 to 20 days after acceptance.

    The editorial team strives to maintain a balance between rigorous academic evaluation and efficient editorial management, facilitating the timely publication and effective dissemination of accepted manuscripts.

    Promotion and Dissemination Strategy

    The journal implements an academic and digital dissemination strategy aimed at increasing the visibility, impact, and accessibility of published articles. This includes publication on the official website, dissemination through academic networks, specialized digital platforms, institutional repositories, and other scholarly communication channels, with the objective of strengthening the circulation of knowledge at both national and international levels.

    Editorial Management, Sustainability, and Operating Principles

    Sage Sphere in Artificial Intelligence is a scientific journal edited and managed by Editorial JOGB S.A.S., which is responsible for editorial coordination, administration of the peer review process, technological infrastructure, and digital preservation of published content.

    The journal operates under a non-commercial open-access model, ensuring that no fees are charged for submission, evaluation, processing, or publication of manuscripts. This model aims to promote the free dissemination of scientific knowledge without economic barriers for authors or readers.

    Editorial sustainability is based on the institutional management of the publisher, the academic work of the editorial team and external reviewers, and the use of digital editorial management platforms. All activities are conducted in accordance with principles of editorial ethics, transparency, academic independence, and international best practices.

    Editorial decisions are made autonomously and independently, based exclusively on the scientific quality, originality, thematic relevance, and methodological rigor of submitted manuscripts, without influence from economic, institutional, or commercial interests.