Artificial Intelligence (AI) is increasingly becoming an essential part of interdisciplinary education and research. From Generative Intelligence to Large Language Models, AI is powering rapid developments in every sector, including medicine and healthcare. As AI becomes ubiquitous, its usage has several implications for educators. In medicine, AI tools can significantly improve predictive and palliative care, diagnostics and patient care, and more. But incorporating AI into the academic curriculum or for scientific research requires a deeper understanding of the technology, and the policies and regulations around its ethical use. These resources are meant to guide faculty and staff in learning more about artificial intelligence and its adoption. We have included a variety of resources on what AI is, how it powers generative modeling such as ChatGPT, and how it can be used in clinical practice, medical research and teaching.
Just In Time
These Just In Time resources are ideal if you only have a couple of minutes to start finding out about Artificial Intelligence.
How will AI change the world?
Source: Ted-Ed
This educational video captures the limitations of Artificial Intelligence (AI) and the potential for expanding its capabilities.
Additional Resources:
Five recommendations for use in medical education.
Interviews with medical specialists on the practical use of AI.
A brief introduction to the breakthroughs in medicine powered by AI.
Dr. Isaac Kohane, HMS, talks about AI for general medicine and introduces NEJM AI, a journal for AI in medicine.
Deeper Dive
If you have more time to invest, these Deeper Dive resources are longer and/or more in depth so you can gain a deeper understanding of Artificial Intelligence.
UW Madison Resources on AI
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Generative AI Services at UW-Madison (link)
Generative AI services at UW–Madison
Access this page to explore and learn about generative AI tools, resources, policies, events and support that are available to the UW–Madison community.
Generative AI : Home (Link)
This comprehensive resource introduces generative AI and large language models, addressing their capabilities, limitations, and appropriate uses. It provides practical guidance for working with AI tools, explores the impact of language on our understanding of AI technologies, and includes curated resources for deeper learning about these rapidly evolving systems.
UW–Madison Information Technology Statement on use of generative AI (link)
UW–Madison Information Technology Statement on use of generative AI
This is UW-Madison’s statement about the use of generative AI for educators, researchers, staff and students.
UW–Madison Generative AI Instructional Opportunities and Challenges (link)
UW–Madison Generative AI Instructional Opportunities and Challenges
More information and guiding principles from UW-Madison for instructors to learn about generative AI.
UWSMPH What Do I Need to Know About Artificial Intelligence? (video)
UWSMPH What Do I Need to Know About Artificial Intelligence?
Watch this informative session by Dr. Peter Kleinschmidt from the Division of General Internal Medicine, UW School of Medicine and Public Health, on the origins of AI, generative AI technologies, and the UW Health AI Policy.
UW-Madison Self-Serve Teaching Resources (link)
UW-Madison Self-Serve Teaching Resources
This link from Center for Teaching, Learning & Mentoring (CTLM) provides some self-serving teaching resources including those for generative AI.
Panel of UW-Madison researchers discuss AI from foundations to applications (video)
Panel of UW-Madison researchers discuss AI from foundations to applications
Watch this series of events that took place in 2023 featuring UW-Madison faculty and researchers in the area of AI and its applications.
[Please note that access to the full recording requires NetID login]
UW-Madison AI meeting assistant tool guidance (link)
The usage guidance template below will help you create usage guidelines for AI meeting assistant tools in your unit.
UW-Madison Microsoft Copilot (Link)
UW-Madison Microsoft Copilot (Link)
This resource provides essential information about Microsoft Copilot access for the UW-Madison community, outlining available features, login instructions, and usage policies. It highlights enterprise data protection benefits, explains access to powerful AI models, and emphasizes responsible use while noting important limitations regarding sensitive data handling.
Resources on AI and Generative AI for Medicine
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AI in medical education: 5 ways schools are employing new tools (Link)
AI in medical education: 5 ways schools are employing new tools (Link)
This article explores five innovative ways medical schools are implementing AI tools to enhance education, including creating simulated patient interactions, generating test preparation materials, evaluating student performance, streamlining faculty evaluations, and identifying areas for targeted student improvement. The article highlights both the benefits and challenges of AI integration while emphasizing the continued importance of human oversight in medical education.
University of Nebraska Medical Center AI Resources Research Guides (link)
University of Nebraska Medical Center AI Resources Research Guides
A comprehensive guide on AI research, knowledge bases, organizations, policies and more.
Microsoft Research AI Frontiers: AI for health and the future of research with Peter Lee (podcast)
Microsoft Research AI Frontiers: AI for health and the future of research with Peter Lee
Listen to this podcast by Microsoft Research to know more about the impact of AI on society, and on science and technology research.
Getting started with AI: Good enough prompting (Link)
Getting started with AI: Good enough prompting (Link)
Explore why many professionals, including doctors, struggle to effectively use AI tools despite their capabilities. This article breaks down common misconceptions about AI usage and offers practical advice for becoming comfortable with AI systems. It argues that instead of focusing on complex prompt engineering, users should treat AI as a patient but forgetful coworker, spend about 10 hours using it in their area of expertise, and learn through direct experience rather than technical theory.
Google Tech Introduction to Generative AI (video)
Google Tech Introduction to Generative AI
Dr. Gwendolyn Stripling, the AI Technical Curriculum Developer at Google Cloud, provides a comprehensive overview of Generative AI.
Carnegie Mellon University Panel on Generative AI in Medicine and Public Health (video)
Carnegie Mellon University Panel on Generative AI in Medicine and Public Health
Watch this panel discussion on Generative AI in Medicine and Public Health with academic stalwarts from Carnegie Mellon University, University of Michigan, and Allen Institute of Technology.
The Advent of Generative Language Models in Medical Education (link)
The Advent of Generative Language Models in Medical Education
This research article provides an overview of the benefits, challenges and ethical considerations of using Generative Language Models in medicine and healthcare.
Ted Talk Sal Khan, Khan Academy, How AI Could Save (Not Destroy) Education (video)
Ted Talk Sal Khan, Khan Academy, How AI Could Save (Not Destroy) Education
Watch this video in which the founder of Khan Academy motivates discussion around the positive transformation in education being powered by AI.
New England Journal of Medicine (NEJM) AI (link)
New England Journal of Medicine (NEJM) AI
Refer to this upcoming interdisciplinary journal for AI in medicine intended for clinician and non-clinician researchers. The journal will provide resources pertaining to developments in AI, methodologies and applications in clinical practice, personalized medicine, telemedicine, policy and more.
Resources for Faculty, Educators, and Researchers
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Oregon Health and Science University's AI: What do faculty need to know? (pdf)
Oregon Health and Science University’s AI: What do faculty need to know?
This presentation by the Chief Information Officer at the Oregon Health & Science University addresses the main questions around AI and its challenges.
Artificial intelligence in medical education: a cross-sectional needs assessment (link)
Artificial intelligence in medical education: a cross-sectional needs assessment
Read this informative research survey conducted for medical students with the objective of discovering their perception of AI in medicine. Additionally, refer to this research survey conducted for medical educators and students to gauge their level of familiarity with AI.
Perspectives on Medical Education Writing with ChatGPT: An illustration of its capacity, limitations & implications for academic writers (link)
Refer to this resource to gain insights into leveraging ChatGPT for tasks such as brainstorming, generating texts, and editing.
Become an Efficient Academic Writer with AI Apps (link)
Become an Efficient Academic Writer with AI Apps
Use this extensive resource guide which provides a starting point for using AI and language agents such as ChatGPT for academic writing.
UNESCO ChatGPT and Artificial Intelligence in Higher Education: Quick Start Guide (link)
UNESCO ChatGPT and Artificial Intelligence in Higher Education: Quick Start Guide
UNESCO Digital Library provides a quick start guide to understanding AI, language modeling, applications of ChatGPT in higher education and the ethical considerations to make.
National Academy of Medicine Artificial Intelligence for Health Professions Educators (link)
National Academy of Medicine Artificial Intelligence for Health Professions Educators
Read this article on AI for Health Educators by the National Academy of Medicine.
Tech In Med Ed: Resources and Preparation for AI with Dr. Clare Forstie (podcast)
Tech In Med Ed: Resources and Preparation for AI with Dr. Clare Forstie
Listen to this episode of the Medical Education Matters podcast in which Dr. Claire Forstie, Education Program Specialist at the University of Minnesota, discusses AI and LLMs for medical education.
The Ohio State University's Getting Started with Generative Artificial Intelligence: Considerations and Strategies (link)
This presentation by The Ohio State University explains the basics of Generative AI, its ethical concerns in medical education, resources for learning about it, and its usage in instruction and the design of assessments.
Structured Prompt: Prompt Optimization Tool (link)
Structured Prompt: Prompt Optimization Tool
This website converts your prompt to a well-structured prompt to ensure accurate and high quality responses from large language models such as ChatGPT, Gemini, etc.
Student Guide to AI Literacy (link)
This guide was written by participants of the Critical AI Literacy for Reading, Writing, and Languages Workshop, an initiative of the MLA-CCCC Task Force on Writing and AI.
Learn about the ethical and effective use of GenAI technologies that is emerging as an essential skill that students must develop in order to live, learn, and work.
What Is Retrieval-Augmented Generation (RAG) (link)
What Is Retrieval-Augmented Generation (RAG) and How Is It Changing AI Responses
This article covers the explanation of RAG. What it is, what it has to do with AI and its importance in the growing usage of AI.