Driving Innovation Through AI

Artificial Intelligence Working Group

The AI Working Group is a member-led collaborative space for Wisconsin’s biohealth community to explore the evolving impact of AI and machine learning across the biohealth industry, from research and development to education. Designed to foster open conversation, peer learning, and practical idea-sharing, the group brings together professionals who are navigating similar opportunities and challenges in this rapidly changing area. Through interactive discussions—including experimental conversations with AI agents—members can exchange insights, host discussions, ask questions, and learn from one another’s experiences. Whether you’re actively implementing AI strategies or just beginning to explore the possibilities, the AI Working Group is an opportunity to help shape how Wisconsin’s biohealth industry moves forward with confidence.

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Join the AI Working Group

Upcoming group events are listed below. If no future events are currently scheduled, we invite you to browse past events to see the types of conversations and learning opportunities this group offers. New events will be shared with group members by email as they are scheduled.

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AI Working Group Meeting—AI Literacy in Action: Aligning Academia and Industry for the Workforce of Tomorrow

May 7
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As artificial intelligence rapidly reshapes the workplace, both academia and industry face the same pressing question: What, exactly, should we be teaching and learning?

Join us for a highly interactive, one-hour Zoom discussion exploring how organizations can define and develop meaningful AI literacy across roles — without assuming everyone needs to be a data scientist.

Featuring insights from Milwaukee School of Engineering’s (MSOE) cross-campus initiative to integrate AI into every major, this session will explore:

• How MSOE approached AI curriculum design when industry itself wasn’t sure what to ask for

• How to define “AI-literate” by job role — from entry-level hires to mid-career professionals

• Push vs. pull learning models: Should organizations direct AI upskilling or let employees explore?

• What problems are actually worth applying AI to — and where it may not belong

• Risk, ethics, trust, and decision-making in regulated environments

Participants will be invited into the conversation to share how their organizations are assessing AI tools, structuring training, incentivizing adoption, and navigating risk.

This is not a lecture — it’s a working discussion for leaders thinking seriously about AI workforce readiness.

Ideal for workforce leaders, academic partners, innovation teams, and executives navigating AI integration in complex, regulated industries.

Register Now

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