The Journal of Artificial Intelligence Research and Innovation (JAIRI) is committed to upholding the highest ethical standards in AI research, machine learning, and computational intelligence. Editors play a crucial role in ensuring the journal's integrity, transparency, and fairness in publishing cutting-edge research that advances the field of artificial intelligence.

Ethics for Editors

1. Editorial Integrity and Independence

Editors must ensure that all submitted manuscripts are evaluated based solely on their scientific merit, innovation, and relevance to artificial intelligence, free from any external influence.

  • Impartiality: Editorial decisions must be free from bias regarding authors' nationality, institutional affiliation, race, gender, or financial interests.
  • Transparency: Editorial policies, peer review procedures, and acceptance criteria must be clearly communicated to authors and reviewers.
  • Independence: Editors must ensure that decisions are made independently of financial, commercial, or political influences.

2. Confidentiality and Data Protection

Editors must maintain strict confidentiality regarding submitted manuscripts and ensure the integrity of sensitive research data.

  • Manuscript Confidentiality: Editors must not share manuscript details with anyone outside the editorial team, assigned reviewers, and the corresponding author.
  • Reviewer Anonymity: If following a double-blind peer review, editors must ensure that author and reviewer identities remain confidential.
  • Data Security: Editors must ensure that unpublished research findings are not used for personal research or unauthorized purposes.

3. Fair and Rigorous Peer Review

Editors are responsible for maintaining a robust, unbiased, and transparent peer review process that ensures scientific quality and ethical compliance.

  • Reviewer Selection: Editors must select qualified, independent reviewers with expertise in AI, machine learning, deep learning, and computational intelligence.
  • Timeliness: Editors must strive to complete peer review in a timely manner to facilitate efficient publication.
  • Constructive Feedback: Editors must ensure that reviewer feedback is professional, objective, and constructive to help authors improve their work.

4. Ethical Oversight and Research Integrity

Editors must ensure that all published research adheres to ethical AI principles, including fairness, accountability, and transparency.

  • Plagiarism and Data Fabrication Prevention: Editors must ensure that submitted manuscripts are screened for plagiarism, AI-generated content misuse, and research misconduct.
  • Bias and Fairness in AI Research: Editors must ensure that AI models and datasets used in research comply with fairness and non-discriminatory principles.
  • Reproducibility: Research findings must be verifiable and reproducible, with transparent methodologies and dataset disclosures.

5. Conflict of Interest Management

Editors must actively identify and manage conflicts of interest to maintain the credibility of the editorial process.

  • Editorial Conflicts: Editors should recuse themselves from handling manuscripts where they have a personal or professional conflict of interest.
  • Author and Reviewer Disclosure: Editors must ensure that authors and reviewers disclose any financial, institutional, or personal conflicts of interest.
  • Industry Funding Transparency: AI research funded by corporations or government agencies must be transparently disclosed and fairly evaluated.

6. Post-Publication Corrections and Retractions

Editors must take corrective actions when errors, ethical concerns, or research misconduct are identified in published articles.

  • Corrections: Minor errors should be addressed through errata or corrigenda.
  • Retractions: Editors must retract articles in cases of confirmed scientific misconduct, AI model manipulation, or falsified data.
  • Expression of Concern: If concerns arise but require further investigation, editors may issue an expression of concern.

7. Ethical Considerations for AI Research

Editors must ensure that AI research published in JAIRI adheres to ethical principles related to AI development and deployment.

  • AI Transparency: Authors should disclose AI model architectures, training datasets, and explainability methods to ensure replicability.
  • Human-Centered AI: Research involving AI for decision-making in critical areas (e.g., healthcare, finance, law) must disclose ethical implications.
  • Privacy and Security: AI research involving personal or sensitive data must comply with legal frameworks such as GDPR, HIPAA, or equivalent privacy laws.
  • AI Ethics Compliance: Editors must ensure that authors discuss potential AI biases, unintended consequences, and mitigation strategies.

8. Transparency and Accountability in Editorial Policies

Editors must ensure that journal policies and ethical guidelines are transparent, publicly accessible, and consistently applied.

  • Editorial Guidelines: Clear editorial and peer review policies must be available to authors, reviewers, and readers.
  • Handling Ethical Complaints: Editors must investigate and address ethical concerns raised by authors, reviewers, or readers with transparency.
  • Diversity and Inclusion: Editors should promote diversity in AI research and ensure inclusivity in authorship, peer review, and editorial board representation.

9. Editorial Independence and Responsibility

The editorial team must ensure that all publication decisions are independent, objective, and focused on advancing AI research.

  • Independent Decision-Making: Editorial decisions must be based solely on the scientific quality and relevance of the manuscript.
  • Accountability: Editors must take responsibility for published content and address ethical concerns appropriately.
  • Professional Conduct: Editors must foster a respectful, ethical, and professional environment for authors, reviewers, and editorial board members.

By serving as an editor for the JAIRI, individuals commit to maintaining the highest ethical standards in publishing and upholding the integrity of artificial intelligence research. For any ethical concerns or clarifications regarding editorial responsibilities, editors are encouraged to contact the journal’s editorial office.