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Found 4 papers, 2 papers with code
On Specifying for Trustworthiness
As autonomous systems (AS) increasingly become part of our daily lives, ensuring their trustworthiness is crucial.
A Methodology and Software Architecture to Support Explainability-by-Design
The methodology consists of three phases: (A) Explanation Requirement Analysis, (B) Explanation Technical Design, and (C) Explanation Validation.
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.
