Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Risk analysis inland navigation
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA, AIIA
- Status
- In use
General information
Theme
- Traffic
- Nature and Environment
- Economy
Begin date
Contact information
Link to publication website
Responsible use
Goal and impact
Safety, environment and fair market conditions are paramount in the supervision of the inland navigation sector. Violations can give unfair competitive advantage. Although regulators work together, there are not enough people and resources to inspect all vessels. The risk model helps inspectors make smart choices. They try to spare skippers who comply nicely with the rules. Ships with a higher risk of violations are instead inspected. The aim is a reduced inspection burden for ships that are in order, fairer competition in the sector by reducing non-compliers, and increasing safety and reducing environmental impact in this sector.
Considerations
More insight into the entire sector is needed to achieve more effective supervision. In the first place to support the inspector's expertise in making choices, but also to play a directing role in inland navigation supervision. There are very few inspectors and there are very many inland navigation vessels in the Netherlands, some of which have not been inspected before. To be able to estimate risks in advance, the ILT opted for a predictive model. The ILT has included information-driven work in its strategy, with the aim of better identifying and addressing societal risks.
Human intervention
The inspector decides whether or not to inspect a ship. In doing so, he/she takes into account the work instruction, the risk score, knowledge and experience and his/her own observation. The risk score is an aid and not mandatory advice.
Risk management
Changes in the industry and supervision are discussed with a user group. If necessary, the model is adjusted accordingly. Changes in input data are monitored and the reliability of the model is regularly tested. If necessary, measures are taken and the model is re-trained with adjusted characteristics.
Legal basis
The ILT checks whether ships comply with laws such as the Inland Shipping Act, the Transport of Dangerous Goods Act, the Shipping Traffic Act, the Working Hours Act and the Environmental Management Act. Additional regulations and decrees also apply.
The ILT processes personal data because this is necessary to carry out its statutory duties. This is permitted under Article 6(1)(e) of the General Data Protection Regulation (GDPR).
Elaboration on impact assessments
No IAMA test was conducted. Instead, an AIIA test was conducted, covering similar questions and topics.
Impact assessment
- Data Protection Impact Assessment (DPIA): https://www.autoriteitpersoonsgegevens.nl/themas/basis-avg/praktisch-avg/data-protection-impact-assessment-dpia
- AI Impact Assessment (AIIA): https://www.rijksoverheid.nl/documenten/rapporten/2022/11/30/ai-impact-assessment-ministerie-van-infrastructuur-en-waterstaat
Operations
Data
The model was created using data collected during the monitoring of inland navigation. This data comes from the ILT and from organisations the ILT cooperates with: the port authorities of Amsterdam and Rotterdam, the Dutch police and Rijkswaterstaat. It includes information such as inspection data, permits, vessel characteristics and company information. Together, these data give the most complete picture of the sector.
Links to data sources
Technical design
The inland navigation risk model uses computational rules to predict whether a vessel is in breach. Such a model is also called an algorithm. In creating the model, a form of artificial intelligence was used: machine learning. The computer has learned from a lot of data from the past. This makes it clear which characteristics of a ship or company say something about the likelihood of a violation. So the calculation rules are not devised by an inspector, but are derived from the data and the type of algorithm. The model works for all inland vessels, even if they have never been inspected before.
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