A question set that walks a multidisciplinary team through the purpose, impact, technical design, data and risks of an AI system, and records the decision whether to use it.
| Full name | AI Impact Assessment (AIIA) of the Dutch Ministry of Infrastructure and Water Management |
| Website | https:// |
| Developed by | Dutch Ministry of Infrastructure and Water Management (ILT IDlab, RWS Datalab and Office of the CIO) (2022) |
| Type | Assessment: Question-based assessment document (PDF) with a fill-in template |
| Lifecycle phase | Design, Development, Deployment |
| FUTURE-AI | Robustness, Traceability, General recommendations |
| For | Policy makers and managers, AI developers |
| Time needed | ongoing; revisit at each project phase |
| Facilitation | Facilitator recommended |
| Skills needed | none; some sections need a data scientist or legal expert |
| Cost | Free |
| Languages | Dutch, English |
| Maturity | Established |
| Licence | No licence stated in the document; Government.nl offers its website content under CC0 |
What it is¶
The AIIA has two parts. In Part A you describe what the system is for and what effects it may have, including on fundamental rights and sustainability, and then decide whether using it is justified. In Part B you check the design and use: bias, accuracy, reliability, reproducibility, explainability, data governance, risk management and accountability. Mandatory questions are marked separately from optional ones, and a short quick-scan route supports an early go/no-go decision. Version 2.0 (December 2024) adds appendices on AI Act risk classes, questions for high-risk systems, and points to consider for generative AI, and is linked to the IAMA so that most projects do not need both.
In healthcare¶
The AIIA was made for a Dutch ministry rather than for health care, but its structure suits clinical AI projects. Its high-risk appendix matters when your tool is a medical device that needs a Notified Body (MDR class IIa or higher), because such devices are high-risk AI systems under the AI Act.
Where to use it in The ELSA Way¶
Risk management planning › 1. Risk identification: Its questions on bias, accuracy, reliability, data quality and security give your interdisciplinary team a ready checklist for listing risks before development starts.
Governance and accountability › Governance structures: It assigns chapters to named roles and produces a written record of each decision, which gives a governance committee something concrete to review and sign off.
Related tools¶
IAMA: A structured discussion guide that helps a public organisation decide whether and how to use an algorithm, with a step-by-step check of its effects on fundamental rights.
Algoritmekader: A Dutch government website that brings together the legal requirements, recommended measures and supporting tools for responsible use of algorithms and AI, organised by lifecycle phase, role and topic.
ALTAI: A self-assessment checklist from the EU High-Level Expert Group on AI that helps you test an AI system against the seven requirements for trustworthy AI and spot where you need extra measures.
Also listed in: RAAIT toolbox.