• Home
  • AI
  • What EU AI Rules Mean for NPOs (Non-Profits) and NGOs

What EU AI Rules Mean for NPOs (Non-Profits) and NGOs

0Shares
Image

The EU Artificial Intelligence Act (“AI Act”) changes how organisations—including small nonprofits—can use AI tools. Understanding the new rules is essential for compliance and responsible use.

NGO / NPO Compliance Checklist under the EU AI Act


⚙️ What the AI Act does

  • The AI Act entered into force 1 August 2024. (Wikipedia)
  • It introduces a risk-based classification of AI systems: “unacceptable,” “high risk,” “limited risk,” and “minimal risk.” (ePRNews)
  • For “general-purpose AI” (GPAI) models — e.g. large language models, image generators — special transparency, copyright, and disclosure rules apply. (ePRNews)
  • Some prohibitions took effect 2 February 2025 — for example, AI practices deemed “unacceptable risk,” like unconsented biometric surveillance or manipulative social scoring. (nccgroup.com)
  • The stricter rules for “high-risk” AI deployers and providers apply gradually, with key deadlines in 2025–2027. (EY)

Who the rules apply to — and why your NGO might be included

The AI Act covers a wide range of actors:

  • “Providers” — those who develop or supply AI systems
  • “Deployers” — those who use AI systems. If your NGO uses AI tools (for example, for recruitment, content generation, translation, data analysis, or donor screening), you likely count as a deployer. (europeanaifund.org)
  • The regulation applies regardless of where your software comes from — if you deploy or make an AI system available to EU-based people, the law applies. (PwC)

This means small nonprofits are not exempt — using a popular online AI tool could trigger compliance obligations.


What obligations NGOs should watch out for

Depending on how you use AI, different rules may apply:

Use case / AI systemWhat the law requires
Internal support tools, e.g. generative AI for translations, scripts, drafting copy, data cleaningMight fall under GPAI rules — transparency obligations if content is published or shared externally (Noerr)
AI for decision-making (e.g. screening applicants or allocating aid)If classified “high-risk,” must meet strict requirements: documentation, human oversight, transparency, risk management (European Parliament)
Use of or providing AI systems that allow disallowed practices (e.g. biometric ID, profiling, social scoring)These are banned under “unacceptable risk.” Use would be illegal. (European Parliament)
Publishing AI-generated content (text, images, video)You must label it as AI-generated. Transparency rules apply. (Noerr)

What it means for small nonprofits — practical takeaways

  • If you only use low-risk AI (e.g. for ordinary office tasks, simple translations, content drafting), compliance should be minimal. Most common tools fall under “limited risk.”
  • If you publish AI-generated content, make sure you clearly state that it was AI-generated.
  • If you use AI for decisions affecting people (e.g. applicant screening, aid eligibility), you must treat it like a “high-risk system”: keep documentation, ensure human oversight, avoid bias.
  • Avoid any AI tools or practices that could be “unacceptable risk” (biometric surveillance, profiling, social scoring).
  • Build internal awareness. Even if you are a small team, define who “deploys” AI and how. Assign responsibility.

Why the AI Act matters for social impact organisations

  • Ethical mission: NGOs often work with vulnerable communities. The AI Act enshrines respect for rights, non-discrimination, and transparency.
  • Trust: Transparent use of AI helps maintain public and donor trust.
  • Accountability: Mistakes or misuse — especially in allocations, decision-making, or outreach — can now carry legal risk.
  • Growth and compliance: As your organisation grows or collaborates across borders, compliance ensures you can continue operations without regulatory friction.

If you like, I can draft a short NGO-friendly compliance checklist (5–10 steps) to help meet the AI Act obligations while using AI tools — that’s often helpful for small teams.

0Shares

Leave a Reply

Your email address will not be published. Required fields are marked *