Peer-reviewed · Quarterly · Since 2019
Journal of AI Ethics & Society
The social, legal and normative dimensions of machine learning systems — fairness, accountability, governance and the labour that trains them.
Editor-in-Chief: Dr. Priya Venkataraman, IIIT Hyderabad
Metrics
Updated quarterly, including the quarters they get worse. A journal that only publishes its numbers when they flatter it is not publishing its numbers.
- Impact factor
- 4.07
- Acceptance rate
- 14%
- Time to first decision
- 4–6 weeks
- Articles published
- 2
- Impact factor
- Mean citations in the current year to articles published in the preceding two years, computed from Crossref-deposited references. Not a measure of any individual article's quality, and we would rather you did not use it as one.
- Acceptance rate
- Accepted submissions as a share of all complete submissions received in the calendar year, including those rejected at desk. Excluding desk rejections would roughly double this figure, which is why some journals do.
- Time to first decision
- Median calendar days from submission to the first substantive decision — accept, revise or decline. Median rather than mean, because one manuscript lost for a year should not be able to hide behind ninety fast ones.
