CVMBS AI Newsletter #4

What You Should Know

Fiscal year 2025 is shaping up to be the year AI Agents mature into mainstream tools. Unlike traditional chatbots, AI Agents are designed to work autonomously, using external tools and making decisions to complete tasks independently. This distinction from chatbots is crucial for understanding the expanded capabilities and potential impact of this next wave of AI: where a chatbot will explain how to schedule a team meeting, an agent will check all calendars, identify optimal times, send invites, reserve conference rooms, and manage follow-ups. Google, Microsoft, OpenAI, and many others are all directing their development efforts towards AI agents, with the goal to create the perfect AI assistant.
 

AI In Education

  • A report by EDUCAUSE states that 86% of college students regularly use AI tools in their studies, with 59% expecting their university to increase the technology’s use in teaching and learning. Over 80% of faculty reported using AI for at least one work-related task, although 66% of universities reported having no institution-wide AI strategy.
  • More than half of higher education leaders cite a lack of faculty familiarity with AI tools as a challenge to adoption. Colleges are increasingly offering faculty development opportunities for AI use in the classroom, including University of Texas at Austin, University of Central Florida, and Vanderbilt University.
  • The World Economic Forum emphasized that AI literacy is becoming a core competency in education, beyond traditional digital literacy. A significant portion of Gen Z scores poorly on evaluating and identifying shortfalls in AI technology, such as hallucinations, and sees ethics as a low priority.
  • Harvard has begun directly incorporating generative AI into some of its courses. An AI-based tutor was developed for their introductory computer science course to assist students while maintaining pedagogical guardrails to guide students and preventing direct answers. University of Toronto has done similar with a 24/7 “All Day TA”, reportedly handling 12,000 student queries annually.

AI In Research

  • Researchers are sharply divided on the ethical acceptability of AI use in academic writing and peer review. 90% agree that AI use for editing and translating papers is acceptable, while a smaller majority of 65% consider text generation acceptable. Often, researchers will not disclose they had used AI, further raising the issue of AI-use transparency.

AI In the World

  • A clause included in the House-passed ‘One Big Beautiful Bill Act’ (H.R. 1) would prohibit state regulations on AI usage in business, research, education settings, and government. The bill now moves to the senate.
  • An MIT AI Energy Use Review presents a scientific examination of energy requirements for AI models. The review estimates that by 2028, energy use for AI-specific purposes could be enough to power 22% of US households annually. On an individual basis, it equated a single text prompt with running the microwave for one-tenth of a second to eight seconds, depending on the size of the model used and length of response.
  • Anthropic has released Claude Opus 4 and Claude Sonnet 4, with Opus excelling in tasks like coding, long-running workflows, and deep agentic reasoning. However, safety testing revealed concerning behaviors, including attempting to blackmail engineers in controlled scenarios when the model believed it faced shutdown.
 

Weekly AI Tip

Need help brainstorming ways to explain complex topics? Prompt your AI with the topic, including your own explanation or supplementary materials, and then instruct it to explain the topic in several different ways. For example:
Explain the concept of neural networks three times: (a) to a high-school computer science class (b) to a college machine learning student (c) to a senior AIengineer”

 Image

(image generated by ChatGPT o3)

AI Spotlight

Dr. Camille Torres has been using ChatGPT as a tool to receive reflective feedback on her lectures and clinical communication. This low-stakes, self-directed method provides specific, unbiased, and constructive insights to improve clarity, organization, tone, and engagement
Steps to Get Started:
  • Record your lecture, client appointment, or teaching interaction.
  • Obtain a transcript (Zoom, Teams, or other transcription tools can help with this).
  • Remove identifying information (e.g., client names, patient details).
  • Paste the transcript into ChatGPT and request feedback.

Example Prompt:

For Clinical Communication (e.g., Appointments):
“Please review this client communication transcript. Using the Calgary-Cambridge Guide as a reference, provide feedback on my communication skills, including structure, use of open/closed questions, listening, empathy, and summarization. Also, comment on clarity, tone, and engagement. What worked well, and what are areas I could improve?”
 
For Teaching (e.g., Lecture or Rounds):
“Please analyze this transcript of a lecture I gave to veterinary students. Use principles of effective teaching and communication (e.g., clarity, structure, engagement, use of examples, tone). What did I do well, and what could I improve to better support student learning?”
 
Are you using AI in innovative ways and want to share with your colleagues through this newsletter? Email Brian Kelly at [email protected]
 

Upcoming AI Events

Essentials of Generative AI Workshop – June 13, 10:00AM-2:00PM in DMC 101
  • The Essentials of Generative AI Workshop offers a foundational understanding of Gen AI, covering common terminology, its capabilities, and limitations. The session outlines policies and resources available to faculty and staff. Additionally, the workshop focuses on developing prompting skills and strategies for problem-solving with AI.
Building Custom GPTs & Gems Workshop – August 8, 10:00AM-2:00PM in DMC 101
  • The Building Custom GPTs and Google Gems Workshop focuses on creating personalized and functional AI tools using ChatGPT and Google Gemini. Participants will learn to develop AI tutors, AI generators for assessment content, and AI writing/editing assistants. The workshop is designed so each attendee leaves with their own functional custom AI and the foundational knowledge to build additional tailored solutions.
 

Resource Library

Considerations for AI in the Classroom from the University of Wisconsin-Madison
Generative AI User’s Guide from the Michigan Institute for Data & AI in Society
Generative AI in Academic Research from Cornell University
 
AI Disclosure: The following AI tools were utilized in the design and content of this newsletter: ChatGPT o3, Google Gemini 2.5 Pro, Claude Sonnett 3.7, NotebookLM+