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AI Digest

This section highlights information and articles related to artificial intelligence use in health sciences education.

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October 2025: AI Competencies to Guide Medical Education

“A new Academic Medicine commentary by Alison Whelan, MD, AAMC Chief Academic Officer, and Lisa Howley, PhD, Senior Director, Transforming Medical Education, draws parallels between early skepticism of the World Wide Web and current hesitations about artificial intelligence (AI) in medical education. Concerns about misinformation, equity, and the role of educators echo debates from the 1990s, yet AI holds promise to accelerate competency-based medical education through adaptive, data-driven learning. The authors call for a national set of AI competencies to ensure learners and faculty can evaluate tools, use them ethically, and understand their societal impact. Building on this call, the AAMC – supported in part by the Josiah Macy Jr. Foundation – will launch a new effort to define AI competencies across the continuum of medical education, drawing from leading frameworks and community consensus.”

Read the full text on the Academic Medicine website if you have a journal subscription or through MCW Libraries.

Learn more about AAMC's Artificial Intelligence and Academic Medicine resource

September 2025: MCW Artificial Intelligence InfoScope Page

The Artificial Intelligence at MCW InfoScope page provides a variety of resources to educate and support members of our institution on responsible, effective use of AI. (MCW credentials required to access.)

Highlights:

  • MCW Guiding Principles for the Responsible Use of Artificial Intelligence
  • Microsoft Co-Pilot information, recommendations, and tips and tricks
  • Educational videos from the University of Pennsylvania
  • FAQs
August 2025: MCW Guiding Principles for Responsible Use of Artificial Intelligence (AI)

MCW released guiding principles for artificial intelligence use in April 2024. The principles are applicable to all faculty, staff, and students conducting MCW business in any of the four missions. The core of these principles is engaging in human-centered AI, with transparency being crucial to fostering open communication around AI use and decision making.

Human-Centered AI-HCAI Framework

Figure: The Human-Centered AI (HCAI) framework with specified design goals
Additional information

Highlights from MCW’s Guiding Principles:

  • In the absence of a formal contract, treat all AI tools as public.
  • Never enter protected information into a public AI model.
  • Review AI outputs for accuracy and employ responsibility in its use.
  • Cite AI outputs and use as appropriate.
  • Remember that AI is a tool and is not meant to replace human wisdom and judgement.

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