For communities & organizations
AI is becoming part of how people work, build businesses, and access information. Communities need space to learn, question, and influence how it is used.
Start with a practical experience today. Bring IHA a question about learning, your organization’s work, or the people you serve.
Three starting points
The examples below illustrate possible work. Hosted learning and organizational projects require an agreed scope, staffing, schedule, and cost; an inquiry does not reserve a program or cohort.
Give people a welcoming place to ask questions, try a useful task, and consider what AI means for their lives and livelihoods.
Illustrative starting case
A community group explores AI with residents and small-business owners using a synthetic business idea and an evidence-checking activity.
A useful result: A clearer question, a practical first attempt, and a next step each person can choose.
Inquire about community learningBegin with a real task and the people responsible for it. Identify where AI might help and how you would know whether the result is useful.
Illustrative starting case
A nonprofit tests a draft event summary against the source information, then documents the checks required before sharing it.
A useful result: A bounded workflow, a review standard, and an accountable person who can explain the result.
Discuss your work and systemsMake room for questions about opportunity, services, work, access, and accountability before deciding how a technology should be used.
Illustrative starting case
A civic group brings residents and local employers together to identify questions about AI, whose perspectives are missing, and what evidence is needed.
A useful result: A documented set of questions and priorities with clear limits on whom the discussion represents.
Discuss a community conversationUse this with your group
Choose one proposed use of AI. Work through these questions with the people who will use it and the people affected by it. Keep a short record of answers and unknowns.
This is a discussion aid, not a certification of readiness. An unanswered question is useful information for deciding what to learn or check next.
Name one task or difficulty in everyday language. Ask the people doing the work or receiving the service how they experience it. Identify who has not yet been heard.
Leave with: Write one problem statement, the people consulted, and the perspectives still missing.
Choose a useful result such as fewer correction requests or a clearer explanation. Record the current situation before testing a change. Include the time needed to check AI output.
Leave with: Choose a baseline, a success measure, and a case where the result would be unacceptable.
Identify sensitive information, existing permissions, and decisions that affect people. Start practice with synthetic material. Decide who must review output before it is used.
Leave with: List permitted inputs, prohibited inputs, and the person who can approve a real-world test.
Consider language, disability, device access, cost, and additional review work. Ask how someone can question a result or get help from a person. Consider a simpler approach as well as an AI option.
Leave with: Name an access need, a potential burden, and a practical route for questions or correction.
Assign an owner for checking quality, costs, and complaints. Decide when to stop or change the approach. Agree on when affected people will review what actually happened.
Leave with: Record the owner, review date, stop conditions, and how findings will be shared.
A well-attended session can start a conversation. Evidence of learning comes from what people can do, explain, and apply afterward. Define that evidence before a scoped program begins.
A simple task or question that establishes what participants can do before the learning.
A draft, a tested workflow, or a business assumption with the evidence and limitations attached.
Agreed review criteria, a named reviewer, and an opportunity to improve the work.
A scoped follow-up asks what was used and what changed. Participation, demonstrated learning, and reported outcomes are recorded separately.
Share the free first learning experience, or help an aspiring business owner turn an idea into a brief they can test.
Share who you serve, the question or task you want to address, and any timing or access needs. Keep personal and sensitive records out of your inquiry.
Start an inquiryDelivery arrangements, accessibility support, review responsibilities, and fees must be confirmed before a hosted program begins.
Learning should support an informed choice. Academy learning does not require purchasing an affiliated AI system. Any implementation proposal should identify its provider, costs, alternatives, and relevant affiliations. A simpler tool or a different provider may be the right fit.