Research and AI at MRU


The use of AI in Research creates opportunities, such as rapid creative prototyping, new possibilities for code generation, automated data analysis, and more; it also introduces risks, such as systemic language biases and the generation of convincing but unsupported results, data interpretations, or conclusions. The increasing accessibility of AI tools enables rapid production of research outputs, including outputs with limited originality or scholarly value. As a result, research assessment should continue to emphasize rigour, originality, and meaningful contribution, rather than volume of publication. Research at Mount Royal University must allow for a risk-aware and flexible framework that promotes innovation while ensuring research integrity and protection. 

Tips for Researchers Using AI at Mount Royal University. 


Resources

The following information may be useful for learning how to use generative AI in your research. 

 

Message for Students:

Check the MRU Library’s resources about AI and be sure to ask your instructor for guidance about using generative AI in your research.