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AI Ethics · 4 min read

Ethical AI for NGOs: a small checklist.

Six questions to ask before letting a language model speak on behalf of a cause.

Dec 2025 · Raquel Hurtado

Before an algorithm publishes or sends a message on behalf of your organization, put it through this technical and human QA pass.

It is not a list to tick off in a hurry: it is a filter so the voice of your cause isn't hijacked by the biases of whichever model you're using.

Checklist

Six questions before you hit send.

Tap each point to mark it as reviewed

0 / 6 reviewed

Versus

Risk management in an NGO's voice.

Same risk, two possible outcomes

  • 🤖 Raw AI output

    Generic, flat or factually wrong content that destroys credibility in front of the donor.

    VS

    Loss of trust

    🧠 Audited by Context

    Transparent, precise communication aligned with the organization's values.

  • 🤖 Raw AI output

    Automatic replication of gender, race or diversity biases.

    VS

    Algorithmic discrimination

    🧠 Audited by Context

    Proactive mitigation through advanced prompt engineering and ethical frameworks.

  • 🤖 Raw AI output

    Exposure to privacy regulations and the new EU AI Act.

    VS

    Legal compliance

    🧠 Audited by Context

    Secure processes, data control and full alignment with digital compliance.

AI can accelerate your communication, but it should never replace human judgement about who you represent and how. Ethics isn't a final step: it's the operating system of the whole process.

Want to apply this filter to your NGO's voice?

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