Generative AI Policies

The role of Artificial Intelligence (AI) and Generative AI has expanded rapidly in modern scholarly research, particularly within fields such as green information systems, smart control technologies, eco-friendly computing, cyber security, circular digital economy, and data science for social impact. While these technologies can significantly enhance research productivity, language refinement, data processing, analytical modeling, and computational workflows, their adoption also introduces vital considerations regarding academic integrity, transparency, accountability, factual precision, copyright, data privacy, and ethical implementation.

As a scholarly publication dedicated to sustainable digital technologies and multidisciplinary innovation, ITSDI Journal advocates for the responsible, transparent, and ethical application of Artificial Intelligence and Generative AI throughout the research and publication lifecycle. AI should serve strictly as an auxiliary tool and must never replace human intellectual contribution, scientific judgment, ethical accountability, creativity, or critical reasoning.

This policy governs AI usage across all submission and publishing workflows within ITSDI Journal, including studies focused on AI for good, sustainable information systems, smart IoT controls, resilient infrastructure security, and data-driven social applications.

ITSDI Journal permits the constructive use of Generative AI as a supporting tool during research execution and manuscript preparation. Authors must maintain direct oversight and take full responsibility for any AI implementation. Permissible applications include:

• Brainstorming and developing research concepts.
• Language editing, grammar refinement, and proofreading.
• Translation assistance.
• Structuring and organizing manuscript sections.
• Categorizing and organizing literature sources.
• Programming and software code support.
• Clarifying complex algorithms and digital technologies.
• Data exploration and initial analysis, subject to author verification.
• Assisting in data visualization and graph generation.
• Enhancing manuscript readability, flow, and clarity.
• Streamlining computational workflows and research operations.

Aligned with the focus and scope of ITSDI Journal, Artificial Intelligence and digital technologies may be investigated or applied in research covering:

• Artificial Intelligence for Good, including applications of AI aimed at resolving pressing social and environmental challenges to deliver broad societal benefits.
• Green Information Systems, focusing on the architectural design and deployment of information systems that foster sustainable practices and minimize ecological footprints.
• Smart Control Systems, involving IoT-driven control mechanisms and intelligent sensors designed to optimize industrial efficiency while curbing environmental impact.
• Eco-Friendly Computer Engineering, covering hardware innovations, energy-efficient computing design, and e-waste reduction through sustainable materials.
• Circular Digital Economy, exploring tech-enabled economic frameworks that promote responsible resource management and waste reduction.
• Cyber Security for Resilient Infrastructure, examining protective measures, protocols, and technologies to shield critical infrastructure from cyber threats and ensure system resilience.
• Data Science for Social Impact, leveraging advanced data analytics to address social disparities, inform policy, and enhance overall community well-being.
• Multidisciplinary Innovations for Sustainability, highlighting cross-disciplinary research and holistic technological solutions targeting complex sustainability issues.

Authors carry full accountability for checking, validating, and editing all AI-assisted outputs prior to submitting their manuscript to ITSDI Journal. Relying on AI does not relieve or shift the authors' ultimate academic responsibility for the content, methodology, data integrity, analysis, findings, or conclusions of the study.

Authors retain sole responsibility for:

• Originality and academic honesty of the work.
• Scientific validity and precision.
• Research data integrity.
• Soundness of methods and algorithmic logic.
• Accuracy of analytical interpretations.
• Adherence to research ethics standards.
• Correctness of citations and references.
• Compliance with copyright regulations.
• Research transparency and reproducibility.
• Overall manuscript integrity and quality.

Generative AI systems cannot be listed as authors because AI lacks the legal and academic capacity to take responsibility for content, grant final manuscript approval, or fulfill standardized authorship criteria.

ITSDI Journal strictly forbids the use of Generative AI in ways that compromise academic integrity, scientific validity, or research credibility. Forbidden practices include:

• Fabricating, altering, or falsifying raw research data.
• Generating simulated experimental results or computational outcomes that were not actually conducted.
• Creating fake or unverified references, DOIs, scholarly citations, or datasets.
• Manipulating statistical models or AI outputs to force predetermined conclusions.
• Distorting findings related to sustainable technologies, smart systems, cyber security, circular economy models, or data analytics.
• Generating deceptive visual figures, charts, or tables that misrepresent source data.
• Submitting non-original works or concealing AI involvement unethically.
• Fabricating ethical approval documentation or statements.
• Utilizing AI tools to subvert, tamper with, or manipulate peer-review procedures.
• Uploading confidential research, personal data, or unpublished drafts to public AI systems without explicit authorization.

Allegations of AI misuse will be thoroughly examined under the publication ethics framework of ITSDI Journal. Confirmed violations may lead to manuscript rejection, mandatory corrections, article retraction, or other appropriate editorial remedies depending on severity.

Authors incorporating Generative AI during paper preparation must declare its usage transparently within the text. The disclosure should identify the specific AI software used, describe its intended purpose, and verify that all generated content was thoroughly audited and finalized by the authors.

Example Disclosure Statement

During the preparation of this manuscript, the authors utilized ChatGPT (OpenAI) exclusively for grammatical refinement and language enhancement. Every suggestion provided by the AI was thoroughly evaluated and edited by the authors, who maintain complete accountability for the manuscript's final content.

When AI is employed for other core research tasks, such as data analysis, programming, visualization, literature classification, or computational modeling - authors must describe these contributions clearly and specifically.

Editors and peer reviewers of ITSDI Journal may utilize AI-assisted tools solely for minor administrative duties or language support, provided that strict confidentiality, independence, and evaluation integrity are maintained.

Editors and reviewers must not upload confidential manuscripts, unpublished research data, source code, supplementary files, personal details, or review comments into publicly accessible AI platforms without explicit authorization.

Editorial decisions and reviewer recommendations must rely strictly on expert human judgment, domain knowledge, and professional integrity. AI tools must never replace the critical academic judgment of editors or the scientific evaluation of reviewers.

ITSDI Journal retains the right to inquire into suspected breaches of this AI policy at any stage of the publication workflow. All inquiries will follow established principles of academic integrity, complete transparency, and publication ethics standards.

Established non-compliance may result in manuscript rejection, formal correction notices, publication retraction, or additional editorial actions proportional to the nature and severity of the breach.

ITSDI Journal remains dedicated to championing the ethical and responsible use of Artificial Intelligence and Generative AI across research in green information systems, smart control technologies, cyber security, circular digital economy, and data-driven sustainability solutions. AI implementation must elevate scholarly quality without diminishing human intellectual contribution, scientific credibility, transparency, and complete academic accountability.