Getting Started with a Human-Centered AI Approach

Event Announcement: Twin Cities AI Community Meetup – June 12th
Topic Getting Started with a Human-Centered AI Approach, address fear
Date & Time: Wednesday, June 12, 2025, 4:00–6:00 PM
Duration: 1.5-hour sessions + 30 minutes of networking
Location: TBD

Agenda

1. Welcome & Networking (15 min)
2. Review AI Bootcamp held April 17th, Polling & Insights (15 min)
3. Present Why Human-Centered AI Matters (15 min)
4. Foundational-AI: Responsible AI Framework Overview (15 min)
5. Responsible AI Design Breakout + Q&A (30 min)
6. Extended Networking & Peer Connection (30 min)

Session Topics & Objectives

1. Review AI Bootcamp held April 17th, Polling & Insights
Focus: With over 600 polling responses, what we learned about AI fear, readiness, and the demand for Human-Centered AI
Key Data:

• 51% of participants are just getting started with AI, fear preventing progress in some cases
• 52% are at Level 0: Random AI experimentation without strategy
• 35% cited Human-Centeredness as the hardest Responsible AI principle to implement

2. Why Human-Centered AI Matters
Focus: Risks of AI innovation without empathy, and the need for executive support and an enterprise strategy
Key Data:

• Top concerns include job loss, bias, and misuse
• 16% said executive buy-in is low; another 7% reported no active discussion on AI

3. Foundational-AI Responsible AI Framework Overview
Focus: The most difficult but critical principle—Human-Centeredness
Key Data:

• Part of putting in place Foundational-AI across the organization is to understand people
• Human-Centeredness was the #1 challenge (35%) in Responsible AI implementation

4. Responsible AI Design Sprint Breakout + Live Q&A

Focus: Applying Human-Centered AI design principles in a collaborative setting
Format:

• Overview of a lightweight ethical design sprint
• Breakout activity (groups of 3) using prompts for real/hypothetical AI use cases
• Summary share-outs and lessons learned

Learning Objectives

• Understand and address fear-based barriers to AI adoption
• Recognize what Human-Centered AI looks like in real-world use
• Learn a practical method to assess AI’s human impact
• Begin implementing ethical design thinking in your work