AI Rounds by the Cumming School of Medicine

Faculty Development @ CSM
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AI Rounds is an educational podcast designed for university faculty in medicine and health sciences navigating the evolving landscape of artificial intelligence in healthcare and education. Each episode breaks down complex AI concepts into digestible insights, exploring practical applications and discussing how these technologies are reshaping medical research and education. Join us as we examine AI through a beginner's lens, creating a space where faculty can grow their understanding of these powerful tools that are transforming healthcare delivery, research, and education.

  1. 6D AGO

    Agents: How to Give AI a Job

    Delegating to an AI agent is not the same as prompting a chatbot. In this episode, I walk through what good delegation actually looks like — scope, constraints, and checkpoints — and apply it to three concrete tasks: updating your CV, building a simple course assistant, and screening abstracts for a scoping review. The framework is practical, the failure modes are real, and the limits matter.

    25 min

  2. MAY 6

    The Year Agents Got Real

    Agents went from a concept most faculty hadn't encountered to embedded infrastructure in the tools you already use — in roughly 18 months. In this episode, I trace what changed, why it changed so fast, and what a three-tier framework for thinking about AI autonomy can tell you about what you're already working with.

    19 min

  3. APR 22

    Could AI Bring Back Humanism in Medical Education?

    Most conversations about AI in medical education focus on efficiency — faster feedback, streamlined assessment, reduced administrative burden. Dr. Nia Abdullayeva asks a harder question: what happens to the human dimensions of training in the process? In this episode, Nia joins me to explore how AI, used intentionally, can protect rather than displace the relational time that makes good teaching and good medicine possible. We get into the cognitive overload driving compassion fatigue in learners, how AI can support sustainable feedback practices, and why the hidden curriculum in medical training might be one of the places AI has the most to offer. Whether you work in the clinic, the classroom, or the research lab, Nia's perspective on AI and professional identity is one I think will stay with you.

    30 min

  4. APR 8

    Your Documents, Your AI: A Practical Guide to NotebookLM

    Not all AI tools work the same way — and NotebookLM is a clear example of why that distinction matters. In this episode, I walk through how NotebookLM works, why its underlying architecture makes it meaningfully different from general-purpose AI assistants, and what that means for how you should use it. We cover the full range of what the tool can produce — from cited Q&A and study guides to AI-generated audio overviews, infographics, and slide decks — and I spend real time on use cases for educators, a group I think has been underserved in some of our earlier conversations. We also get into the privacy and data governance considerations that anyone in academic medicine needs to understand before uploading anything to a cloud-based AI tool. If you've been curious about NotebookLM but weren't sure where it fits in your work, or whether it's appropriate for your context, this episode is your starting point. This episode also serves as an early introduction to Retrieval-Augmented Generation — a concept we'll return to in depth later this season. https://notebooklm.google

    26 min

  5. MAR 25

    What You Gain and What You Lose: A Risk/Benefit Framework for AI Use

    AI agents are everywhere now—tools that can manage your email, execute research tasks, book appointments. But before we explore what AI agents can do for you, we need to understand what you're actually trading every time you use AI. In this Season 2 opener, I walk through the major trade-offs faculty face when using AI in research, education, and clinical work: efficiency versus depth, breadth versus expertise, automation versus agency, and convenience versus privacy. Using the same risk/benefit framework you apply to clinical decisions, I'll help you evaluate when AI use makes sense and when the trade-off isn't worth it. Understanding these fundamentals—especially around agency and privacy—becomes critical as AI takes on more autonomous roles. You're already skilled at risk/benefit analysis. You just need to apply it to a new domain. https://www.media.mit.edu/publications/your-brain-on-chatgpt/

    17 min

  6. 12/10/2025 ·  BONUS

    That’s a Wrap on Season 1 of AI Rounds

    This brief episode wraps up Season 1 of AI Rounds. Thank you, listeners, for tuning in, we've covered a lot of ground together — from how AI models learn to practical applications in teaching, research, and clinical work. Season 2 will launch in Spring 2026, and I'd love your help shaping upcoming content. If you have topic suggestions, please send them to ofd@ucalgary.ca.

    5 min

  7. 11/05/2025

    When to Choose the Harder Path: Navigating Thoughtful Use of AI as a Graduate Student

    In an era where AI tools promise to accelerate every aspect of academic work, graduate students face a paradox: having access to powerful technology while needing to develop fundamental research skills. In this episode, Inara Lalani, a current graduate student shares insights about the critical importance of discernment in AI use. The conversation explores prioritizing process over product in the learning environment, developing frameworks for deciding when AI helps versus hinders their learning, cultivating critical thinking skills that will serve them throughout their research careers, and unexpected ways GenAI is impacting graduate research. Join us for a nuanced and thought provoking conversation that touches on several themes we've seen throughout this season.

    30 min

  8. 10/22/2025

    From Tools to Teammates: Building Your First AI Agent

    What if your AI could work independently toward your goals instead of just answering individual questions? In this episode, we explore AI agents—autonomous systems that can monitor information, make decisions, and take actions without constant oversight. Unlike traditional AI tools that respond to single requests, agents operate continuously to achieve specific objectives. For medical faculty, this means AI that can monitor research literature, track administrative deadlines, support educational workflows, and enhance clinical decision-making. In this episode we break down what AI agents actually are, explores types most relevant to clinical practice and medical education, and provides a practical framework for building your first agent using no-code platforms. The episode covers essential considerations for medical environments, including privacy, security, and integration with existing systems. Links from this episode: zapier.com ifttt.com microsoft.com/en-us/power-platform/products/power-automate

    16 min
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AI Rounds is an educational podcast designed for university faculty in medicine and health sciences navigating the evolving landscape of artificial intelligence in healthcare and education. Each episode breaks down complex AI concepts into digestible insights, exploring practical applications and discussing how these technologies are reshaping medical research and education. Join us as we examine AI through a beginner's lens, creating a space where faculty can grow their understanding of these powerful tools that are transforming healthcare delivery, research, and education.

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