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.
Mai (Montferland AI)
- Publication category
- Impactful algorithms
- Impact assessment
- DPIA
- Status
- In use
General information
Theme
Begin date
Contact information
Link to publication website
Responsible use
Goal and impact
The aim of Mai is to provide citizens with faster, 24/7 answers to their general questions. This relieves the staff on livechat, allowing them to focus on more complex tasks that require human intervention. The impact is improved service delivery and more efficient use of municipal resources.
Considerations
In developing Mai, the following considerations were made:
- Quality of answers compared to human assistants
- Correctness and accuracy of information given
- Ability to stay within the topic
- Compliance with municipal core values
- Privacy, security and transparency
A Data Protection Impact Assessment (DPIA) was carried out and a penetration test by an external party to ensure security.
Human intervention
In principle, Mai functions independently without direct human intervention. However, the chatbot's responses are closely monitored by municipality employees. Feedback from citizens after each chat conversation is used to continuously improve the system.
Risk management
To manage risks, the following measures have been taken:
- Implementation of a DPIA (Data Protection Impact Assessment)
- External penetration test for security validation
- Constant monitoring of chatbot performance
- Ability to take immediate action if necessary
- Continuous improvement of quality and security based on feedback and performance analysis
Legal basis
Providing reliable government information on products and services of Montferland Municipality.
Impact assessment
Operations
Data
Mai uses the following data sources:
- Information from the municipal website
- The General Local Bye-Law (APV)
- Additional documents containing municipal information
Technical design
Mai is based on a Retrieval-Augmented Generation (RAG) system and uses the following components:
- Platform: Flowise (open-source, on-premises hosted)
- Vector Database: Qdrant (open-source, on-premises hosted)
- Large Language Model (LLM) and Embedding: Azure OpenAI deployments (proprietary instance)
This system enables Mai to retrieve relevant information from available sources and combine it with the capabilities of the language model to generate accurate and context-relevant answers.
External provider
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