The following resources are geared toward faculty members who are interested in learning more about the pedagogical dimensions of generative AI, rethinking their approach to student research assignments, and using generative AI tools in their classroom.
The proliferation of generative AI tools has been followed by the emergence of numerous AI-detection tools. Trained on both human and AI-generated content, these tools claim to be able to reliably distinguish between the two, focusing on concepts like burstiness and perplexity. However, AI detection tools have been plagued by frequent false positive and false negative results. This means that there is currently no AI detection tool with a reliable success rate.
Use the resources below to find additional information
The following departments and persons at UR can assist with questions related to generative AI. This includes resources for professional development, subject-specific approaches to AI, and ways to incorporate AI tools into your research and teaching practice:
The following authors, scholars, and researchers regularly publish on generative AI developments: