Assess AI proposals or plan internal AI risk work?

How to choose

For grantmaking, review the proposal

Prioritize a method for assessing objectives, design, data, staffing, and monitoring and evaluation. Ask whether learners practice reviewing evidence and feasibility, not just scoring a polished concept. Regional application or due diligence cases can make review concrete, but a course does not determine legal compliance.

For internal use, build a risk roadmap

If your NGO is adopting AI, choose a workflow that scopes uses, maps stakeholders and data, rates likelihood and impact, assigns mitigations, and sets monitoring owners and dates. A pilot plan should state what will be tested and what would stop it.

Separate assessment from implementation

Check whether the course teaches review, planning, or technical deployment. A risk roadmap is not a security control, successful pilot, or legal opinion. Confirm who can authorize data access and what evidence the learner will bring back to the board or program team.

Before you enroll

• Are learners acting as funders evaluating proposals or staff planning their own AI use?
• Does practice include data, staffing, monitoring, and mitigation ownership?
• What current cohort, date, and access conditions apply?
• Does the learning stop at planning or require technical implementation?

Choose due diligence for external proposals and a risk roadmap for internal adoption. Neither course alone establishes compliance or a safely deployed system.