AI has been growing rapidly, along with the call to integrate it into the field, yet clear guidelines remain scarce. Without proper clarity about what ethical AI use looks like, it would introduce subjectivity in its application. This lack of standardization risks muddying aspects important to research, such as transparency, rigor, and eventually replicability. This presentation reviews a framework for scholars to ethically integrate AI into their research while ensuring equitable use.
