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Found 4 papers, 1 papers with code
On Specifying for Trustworthiness
The main contribution of this article is a set of high-level intellectual challenges for the autonomous systems community related to specifying for trustworthiness.
Explainability-by-Design: A Methodology to Support Explanations in Decision-Making Systems
As a result, providing explanations to address the needs of users and organisations is increasingly expected by the laws and regulations, codes of conduct, and the public.
A taxonomy of explanations to support Explainability-by-Design
As automated decision-making solutions are increasingly applied to all aspects of everyday life, capabilities to generate meaningful explanations for a variety of stakeholders (i. e., decision-makers, recipients of decisions, auditors, regulators...) become crucial.
Provenance Graph Kernel
Provenance is a record that describes how entities, activities, and agents have influenced a piece of data; it is commonly represented as graphs with relevant labels on both their nodes and edges.
