Development of a rapid assessment method for responsible use of generative AI in scientific research: Application to the Ugandan research context
Year: 2026
Type: article
Abstract: Researchers are increasingly using generative artificial intelligence (GenAI) to support tasks such as literature review, academic writing, programming, data interpretation, and knowledge synthesis. We developed a Rapid Assessment Method for Responsible Use of Generative AI in Scientific Research (RAM-GenAI) to provide a practical approach for evaluating responsible practices in low- and middle-income settings like Uganda. Rather than presenting long checklists of many individual requirements, RAM-Gen AI have five major areas of assessment. These are groups related to the principles of responsible GenAI use. They includes, transparency of AI use, verification of AI-generated outputs, data responsibility, human oversight, and reproducibility of AI-assisted research workflows. Each domain contains assessment criteria designed to identify strengths, risks, and areas requiring improvement. RAM-GenAI developed provides researchers and institutions with a practical approach for evaluating responsible GenAI practices before, during, or after AI-assisted research activities.
Source: BMC Research Notes
Author: Omara Innocent
Institution: Universal Technology and Management University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,690
OpenAlex ID: W7203748867