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Lesson 1 • Leadership
Understanding AI in Community Contexts
Artificial intelligence is often discussed in technical or commercial terms. Community leaders need a different lens: what does AI actually do, and where does it belong—or not belong—in community decision-making?
Key concepts
- AI systems recognize patterns in data; they do not “understand” people or communities.
- AI reflects the values, assumptions, and limitations of its creators and training data.
- In community contexts, misuse can damage trust faster than it creates efficiency.
Practice Exercise
Describe one decision your organization makes regularly. Write: (1) what information is used today, (2) one place AI might help, and (3) one reason you would be cautious.
Template (copy/paste)
ROLE: You are my ethics-first AI assistant. GOAL: Help me explain AI in a community leadership context. CONTEXT: We serve [community/constituency]. OUTPUT: 1 paragraph definition + 3 practical examples + 3 risks. CONSTRAINTS: Plain language, no hype, no surveillance suggestions. CHECKS: Flag assumptions and what must be verified.
Ethics & accuracy: verify important facts, avoid sharing sensitive personal data, and be transparent when AI helped draft content.