Research Note IV

Ethical Considerations in Applied AI Research Evaluation

Ethical evaluation of AI research extends beyond stated intentions to the practical implications of model deployment and evaluation choices. Reviewers should assess potential sources of bias, representational gaps in datasets, and whether reported metrics obscure performance disparities across subpopulations.

Responsible research practice includes transparent discussion of known limitations and potential misuse. Absence of ethical consideration does not imply ethical neutrality.

Reviewer note: Ethical risks increase when limitations are left unexamined.