Courses include:

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Understanding AI for Leadership

• Defining Artificial Intelligence (AI): key concepts, terminology, and practical applications

• The History & Evolution of AI: from early computing to today’s advanced machine learning models

• Perceptions vs. Reality: addressing misconceptions and fears about AI in housing

• AI’s Impact on Affordable Housing: case studies, industry insights, and emerging trends

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AI Strategy & Readiness for Organizations

• Developing an AI Strategy Framework: aligning AI adoption with mission, goals, and operational needs

• Creating an AI Vision & Charter: setting clear objectives and guiding principles for AI use

• Assessing AI’s Value in Your Organization: identifying key areas where AI can improve efficiency, compliance, and resident engagement

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Foundational Technical & Business Requirements for AI

• The AI Development Cycle

• Technical Requirements for AI: architecture, infrastructure, data management, talent, privacy & security, and tool evaluation methodology

• Business Requirements for AI: objectives, budget, culture, implementation, usage, talent, measurement

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AI Policy & Governance for Housing Organizations

• Adopting AI Policy & Governance for Your Organization: establishing responsible & trustworthy AI

• Legal & Compliance Considerations: ensuring AI aligns with fair housing laws, data privacy regulations, and ethical standards

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​​Preparing Your Leadership Team & Board for AI

• Educating the Leadership Team & Board: key AI concepts leaders must understand

• Board-Level AI Governance: ethical considerations, risk management, and strategic oversight

• Addressing Concerns & Building Buy-In: framing AI discussions to build alignment and support

• AI Change Management: overcoming resistance and fostering a culture of innovation

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AI Training, Education & Long-Term Adoption

• Establishing an AI Education & Training Program: Ensuring ongoing AI literacy across leadership and staff

• Building AI Talent & Partnerships: When to train internally vs. leverage external expertise

• Scaling AI Initiatives: Moving from pilot projects to full AI integration