AI Governance Training for Nonprofits — page 2

Human-centered and responsible generative AI

Reflect on workflows and values, select tools, examine responsible prompting demonstrations and create an interim acceptable-use policy.

Intro to the AI framework for an equitable world

• Apply an equitable-AI framework to inputs, outcomes and accountability across individual, organizational and system impact
• Design interventions across development and deployment using a John Jay College case.

Introduction to responsible AI

• Apply an AI risk framework to recruitment, donor outreach and program content
• Try self-paced social-media and grant-writing activities.

Legal considerations with AI

• Assess privacy, confidentiality and security risks in nonprofit use cases
• Examine vendor contracts and construct a mission-aligned governance roadmap.

Mitigate bias in AI

• Recognize bias
• Use counter-stereotypical examples and bias-aware prompting
• Plan ongoing audits through hands-on exploration.

Practical AI for philanthropy professionals

• Watch grantee-data analysis and simple custom-GPT demonstrations
• Use data, context and guardrails to guide policy and philanthropic work.

Work smarter with AI

• Distinguish healthy from unhealthy cognitive offloading
• Create intentional-use guidelines and prompt for skill-building and analysis.

AI for Non Profits

• Configure a reusable charity profile and standing instructions
• Match funders, check guidelines and draft proposals
• Prepare consent-aware appeals, board papers, risk registers and ground rules
• Check outputs using five factual questions.

Humans in the Lead Making AI Useful in Your Everyday Work

• Task, context, sources, constraints and output prompting framework
• Workflow risk, human accountability and safe experiment measurement.

AI for Non Profits Essentials to Fast Track Your AI Strategy

• Explain AI limitations including hallucination and bias
• Use a Canadian nonprofit workbook and exercises to work through an AI policy process.