From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch
Researchers introduce 'Grip on LLMs', a framework to evaluate large language models for Dutch governmental use, addressing linguistic and administrative needs.
- The 'Grip on LLMs' framework evaluates large language models for Dutch governmental use.
- The framework addresses linguistic and administrative needs of public administration.
- Six key evaluation dimensions were identified: factuality, honesty, social bias, energy efficiency, transparency, and accountability.
A team of researchers has developed the 'Grip on LLMs' framework, a systematic evaluation suite for large language models in Dutch governmental use. This framework was created in collaboration with domain experts from a major Dutch municipal organisation. The researchers identified six key evaluation dimensions: factuality, honesty, social bias, energy efficiency, transparency, and accountability. These dimensions aim to address the unique needs of public administration and non-English language contexts. The framework was developed through an advisory board process, user research, and a survey of civil-servant chatbot users. This new framework is expected to improve the evaluation and deployment of AI in Dutch government settings.
This framework has implications for the responsible development and deployment of AI in government settings worldwide.
- LLMs
- Large language models, a type of artificial intelligence that processes and generates human-like language.
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