Peer Review Policy

Machine Learning for Human Intelligence (MLHI) follows a rigorous double-blind peer-review process to ensure high academic, ethical, and scientific standards. Under this system, the identities of both authors and reviewers remain anonymous, ensuring a fair, unbiased, and transparent evaluation of all submitted manuscripts.

All manuscripts that pass the initial editorial screening are sent for review to independent external experts in the relevant research domain. These reviewers are not members of the journal’s editorial team and are selected based on their subject expertise, research experience, and publication record. The involvement of qualified external reviewers ensures an objective, high-quality, and academically rigorous evaluation of each submission.

MLHI provides clear information about its peer-review procedures and evaluation criteria on its website. The journal does not guarantee manuscript acceptance, and it does not promise unrealistically short review timelines. Each manuscript is evaluated carefully based on originality, methodological soundness, scientific contribution, and relevance to the journal’s scope.

Steps in the Peer-Review Process

The peer-review workflow at Machine Learning for Human Intelligence (MLHI) follows the steps outlined below:

No. Step Estimated Time
1 Internal Editorial Screening 2–5 days
2 External Peer Review (after successful screening) 20–40 days
3 Communication of Review Reports to Authors (minor/major revisions) 2–5 days
4 Submission of Revised Manuscript by Authors 7–30 days
5 Submission of Compliance Report (if major revision required) 7–10 days
6 Final Editorial Decision / Acceptance 3–7 days

Total Estimated Time from Submission to Acceptance: 45–90 days

Additional Notes on the Process

  • Manuscripts that do not pass the initial editorial screening may be returned to the authors without being sent for external review.

  • During the peer-review stage, manuscripts may receive one of the following editorial decisions:

    • Rejection

    • Minor Revision Required

    • Major Revision Required

    • Acceptance

Expedited Processing

In some cases, the editorial and review process may be completed faster than the estimated timelines if:

  • Reviewers submit reports promptly

  • Authors respond quickly and submit high-quality revisions

  • Communication between reviewers and editors is efficient

Even in expedited cases, the quality and integrity of the peer-review process are never compromised.

Author Responsibilities

Authors are strongly encouraged to carefully address all reviewer comments and provide clear responses when submitting revised manuscripts. Properly revised submissions help maintain an efficient and transparent editorial workflow.

Applicability

This Peer Review Policy applies to all manuscripts submitted to Machine Learning for Human Intelligence (MLHI).

For additional information, please contact the editorial office at editor@mlhi.org.