Definition
"Generative AI refers to a category of artificial intelligence (AI) that focuses on creating or generating new data, content, or artifacts, often in a manner that is indistinguishable from human-generated output. Generative AI models are designed to learn patterns and structures from existing data and then use that knowledge to produce new, similar data. These models are particularly prevalent in natural language processing (NLP) and computer vision but can also be applied to various other domains."
OpenAI. (2023). ChatGPT (Sept 15 version) [Large language model]. https://chat.openai.com/chat
GW Policy
GW Policy for all schools except SMHS and Law
Microsoft Copilot
GW has licensed Microsoft Copilot for GW users. Login to Microsoft Copilot with your GW UserID and password to enable data security and privacy features, and read about precautionary steps to protect your data.
Resources
Information and tools developed by Dr. Ryan Watkins, GW Graduate School of Education and Human Development
- Update Your Course Syllabus for chatGPTSuggestions for updating course syllabi
- Clarifying the Ethical Boundaries for Using AITool for instructor's to assess personal ethical boundaries re usage of AI within their course plus anonymous student survey; intended to provide information to lead in-class discussion,
- Create Guidance for Students on Using AI in Your AssigmentsInteractive tool to generate guidance for use in course materials.
Selected Readings
- The rise of ChatGPT: Exploring its potential in medical educationLee H. (2024). The rise of ChatGPT: Exploring its potential in medical education. Anatomical sciences education, 17(5), 926–931. https://doi.org/10.1002/ase.2270
- The Advent of Generative Language Models in Medical EducationKarabacak, M., Ozkara, B. B., Margetis, K., Wintermark, M., & Bisdas, S. (2023). The Advent of Generative Language Models in Medical Education. JMIR medical education, 9, e48163. https://doi.org/10.2196/48163
- Chatting and cheating: Ensuring academic integrity in the era of ChatGPTCotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1-12.
- AI Chatbots, Health Privacy, and Challenges to HIPAA ComplianceMarks, M., & Haupt, C. E. (2023). AI Chatbots, Health Privacy, and Challenges to HIPAA Compliance. JAMA, 330(4), 309–310. https://doi.org/10.1001/jama.2023.9458
- Navigating the Pedagogical Landscape: Exploring the Implications of AI and Chatbots in Nursing EducationSrinivasan, M., Venugopal, A., Venkatesan, L., & Kumar, R. (2024). Navigating the Pedagogical Landscape: Exploring the Implications of AI and Chatbots in Nursing Education. JMIR nursing, 7, e52105. https://doi.org/10.2196/52105
- Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping ReviewPreiksaitis, C., & Rose, C. (2023). Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review. JMIR medical education, 9, e48785. https://doi.org/10.2196/48785
- Surviving ChatGPT in healthcareLiu, Z., Zhang, L., Wu, Z., Yu, X., Cao, C., Dai, H., Liu, N., Liu, J., Liu, W., Li, Q., Shen, D., Li, X., Zhu, D., & Liu, T. (2024). Surviving ChatGPT in healthcare. Frontiers in radiology, 3, 1224682. https://doi.org/10.3389/fradi.2023.1224682
