The Journal of Naval Architecture and Marine Technology (JNAMT) recognizes the growing use of Artificial Intelligence (AI) tools, including large language models (LLMs), data-driven algorithms, and engineering-focused AI platforms, in manuscript preparation, technical analysis, and editorial workflows. While AI can support efficiency and enhance research quality, transparency, accountability, and adherence to ethical standards are essential.
For Authors
Disclosure Requirements:
Authors must explicitly disclose in the Methods or Acknowledgements section if AI tools were utilized during manuscript preparation, specifying the software name and version.
Authors must clearly outline the specific roles played by AI tools, such as text generation, data analysis, or visualization.
Authorship and Accountability:
AI systems do not qualify for authorship. Authors listed must have substantial intellectual input and must accept responsibility for manuscript content.
Authors are accountable for reviewing, validating, and approving all AI-generated content.
Data Accuracy and Validation:
Any technical results, engineering simulations, or analyses produced using AI tools must be rigorously verified by authors.
Submitting inaccurate or unvalidated AI-generated data is considered research misconduct in engineering research.
Human verification and interpretation of AI-generated results are mandatory prior to submission.
Ethical Considerations:
The use of AI must comply with standards of research ethics, technical safety, data privacy, and confidentiality.
Compliance with relevant ethical guidelines and institutional policies on scientific research is required.
For Reviewers
Transparency and Disclosure:
Reviewers must disclose if AI tools significantly assisted in their peer-review activities.
Reviewers must clearly describe the scope of AI involvement when submitting review reports.
Validation and Accountability:
Reviewers remain responsible for all review content, including content assisted or generated by AI.
AI-generated suggestions or analyses must be carefully reviewed and validated by reviewers for accuracy and relevance.
Confidentiality:
Reviewers must ensure AI tools used for peer review adhere strictly to confidentiality and do not risk exposure of sensitive manuscript content.
For Editors
Transparency and Disclosure:
Editors must disclose any significant use of AI tools during manuscript evaluation and decision-making processes.
Editors should specify the extent and context in which AI tools contributed to editorial decisions.
Accountability and Validation:
Editors retain full responsibility for final publication decisions, regardless of AI assistance.
Editorial decisions based on AI-generated information require thorough human validation and interpretation.
Ethical and Confidential Considerations:
Editors must ensure ethical use of AI in compliance with privacy, confidentiality, and institutional guidelines.
Editorial workflows incorporating AI tools must protect authors' and reviewers' confidentiality and data security.
and reviewer information while maintaining fairness and independence in decision-making.
