Autonomous decision provenance as a requirement for building trust

Douglas S. Lange

doi:10.1117/12.2622922

30 May 2022 Autonomous decision provenance as a requirement for building trust

Douglas S. Lange

Proceedings Volume 12117, Disruptive Technologies in Information Sciences VI; 1211706 (2022) https://doi.org/10.1117/12.2622922
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Many believe that humans need to build trust in the artificial intelligence that they use or collaborate with. Transparency and accountability are two fundamental requirements for building that trust. In this paper, we argue that tracking decision provenance is a foundational capability for providing transparency and accountability. The provenance model used in the research described is a simple one, standardized by the World Wide Web Consortium. Provided are descriptions of research that aim to discern critical information about decisions made by autonomous agents through the graphs built by tracking provenance, despite the simplicity of the model and the possible granularity of the resulting graph. The use of provenance to provide explanations of decisions is also described, utilizing Rhetorical Structure Graphs to add application domain and presentation domain knowledge to the spare provenance data model.

Conference Presentation

Citation Download Citation

Douglas S. Lange "Autonomous decision provenance as a requirement for building trust", Proc. SPIE 12117, Disruptive Technologies in Information Sciences VI, 1211706 (30 May 2022); https://doi.org/10.1117/12.2622922

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