Towards a compositional semantics for quantitative confidence assessment in assurance arguments

1. 1Apply Subjective Logic to assurance arguments to derive quantitative confidence
2. 2Use compositional semantics to break down complex arguments into smaller components
3. 3Evaluate the soundness of assurance arguments using formal methods
4. 4Analyze the structure of assurance arguments to identify potential weaknesses
5. 5Implement a confidence assessment framework using a programming language like Python

This research benefits AI engineers, data scientists, and software engineers working on assurance arguments and trustworthiness in AI systems, as it provides a framework for evaluating confidence in claims

💡 Compositional semantics and Subjective Logic can be used to derive quantitative confidence in assurance arguments

🚀 Assess confidence in assurance arguments with compositional semantics & Subjective Logic! 🤖