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.
DefGPT
- Publication category
- Other algorithms
- Impact assessment
- DPIA
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
This algorithm has no direct impact on members of the public or businesses. The aim of the application is to help Ministry of Defence staff process and use information more quickly and securely. The tool supports day-to-day tasks, such as summarising texts, searching for information and drafting documents. In addition, the internal environment ensures that sensitive Ministry of Defence information remains protected and does not end up with public AI services.
Considerations
AI, and Large Language Models (LLMs) in particular, can make many tasks faster and more efficient. They assist with processing information, making decisions and utilising existing knowledge. This technology can therefore help the Ministry of Defence to prepare for its key tasks more quickly and effectively.
The introduction of DefGPT is a first step towards using this technology within the Ministry of Defence. It enables staff to work securely with an internal AI tool. This is important because sensitive Ministry of Defence information must not be shared with public services such as ChatGPT. This prevents others from gaining access to confidential information.
Human intervention
There is no automated decision-making involved. A human assesses the information generated by DefGPT.
Risk management
The chats are stored temporarily and then deleted. This data is not used to train the model.
In accordance with standards set out in, amongst others, the Baseline Information Security for Government (BIO), logging and authorisation take place within the application. This allows the use of the application to be monitored.
Elaboration on impact assessments
DefGPT does not process any of its own data as an application. The data entered by the end user is stored temporarily for the user’s convenience. It is then automatically deleted. Nor is the data used to further train the model within DefGPT.
Impact assessment
Operations
Data
DefGPT uses OpenAI’s GPT-OSS 120B as its base LLM algorithm. OpenAI does not specify the specific sources on which the model was trained.
Links to data sources
Technical design
LLMs (Large Language Models) are a type of artificial intelligence (AI) specifically designed to learn to mimic the structure and semantics of human language. They can generate text, translate, classify and answer questions based on a database of information. LLMs have applications in natural language processing (NLP) and are known for their ability to learn to understand complex linguistic structures and generate text that is difficult to distinguish from human language.
The textual input is broken down into a sequence of ‘tokens’ (words, letters or other text fragments) which are then fed into the model. The model then predicts what the next token is likely to be and uses this output to generate new text. This process is repeated until the desired length of the text is reached, resulting in a coherent and logical whole.
External provider
Link to code base
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