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KI-VOR

|   Call 2024

Artificial Intelligence for Supporting the Creation and Maintenance of Military Regulations

The design of regulations in the Austrian Armed Forces (ÖBH) presents a critical challenge, as they form the foundation for legally compliant training and operational readiness. Currently, several key issues exist:

1. Inaccuracies and contradictions: Outdated or ambiguous wording leads to room for interpretation and misunderstandings, which can have fatal consequences in safety-critical situations.
2. Lack of consistency and standardization: Different terminologies and inconsistent structures make it difficult to apply and implement regulations.
3. Manual, error-prone maintenance: The creation and updating of regulations are largely done manually, resulting in high workloads and a high susceptibility to errors.
4. Lack of technological support: Currently, there are no automated systems to check regulations for formal and content-related consistency.
5. Limited interoperability: Inconsistent terminology and language barriers hinder cooperation with international partners within NATO and EU defense structures.
6. Loss of knowledge due to retirements: The departure of experienced professionals leads to the loss of valuable knowledge and expertise, which can further affect the quality and consistency of regulations.

Consequences of these problems:

- Increased risk of safety-critical errors that could endanger lives and the environment
- Difficulties in decision-making during crises
- Reduced efficiency and operational readiness of the armed forces
- Challenges in international cooperation

The need for precise, consistent, and technologically supported regulation development is therefore essential to ensure the security and effectiveness of the armed forces.

This project aims to develop an AI-supported software system that provides a central, intelligent platform for creating, editing, and maintaining regulations, significantly improving the quality, timeliness, and consistency of service regulations through Artificial Intelligence (AI). Integrated AI components will assist in text creation, detect errors and inconsistencies, suggest optimizations, and help maintain a central terminology and abbreviation database. The system is designed to reduce manual effort and ensure continuous traceability of changes. This project thus makes a significant contribution to increasing efficiency and securing the future of knowledge management processes within the ÖBH.

Federal Ministry of Finance
Austrian Research Promotion Agency (FFG)
BMLV