NTEN AI training

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.

Human-centered and responsible generative AI

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

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.

Grant writing in the age of AI

Research credible funders, cross-check sources, review RFP criteria, build scoring matrices and proposal checklists, and draft with funder-specific language and human review.

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.

Use AI for smarter impact evaluation

Convert goals into evaluation frameworks, standardize inputs, identify themes and trends, and design a safer evaluation assistant.

Work smarter with AI

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

Streamline grants management with AI

• Work through four grant-lifecycle cases covering strategy, design, due diligence, evaluation and compliance
• Refine prompts and review outputs.

Build and fund AI

• Apply a five-step build-or-buy, design, deploy and maintain framework
• Examine Quill.org and E4Youth examples and lifecycle funding, evaluation and sunsetting.

AI readiness and adoption

• Assess five readiness dimensions
• Sequence foundational, policy, integration and sector-leadership adoption phases with ambassadors and feedback.

Legal considerations with AI

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

Change management and AI

ADKAR resistance diagnosis, inclusive leadership/trust, project/change coordination, ethics and innovation lead to an applied simulation/reflection. Public page exposes framework sequence but not the simulation’s scenario or completed staff artifact.

Bias mitigation and ethical AI leadership

Use inclusive-assessment and FATE principles, design thinking, case studies and a responsible-AI action plan to identify and mitigate bias.

AI Policy and Governance

• Use impact-based assessment to define principles, accountable roles, guardrails, oversight and monitoring
• Reflect on real nonprofit scenarios.