A Methodology and Software Architecture to Support Explainability-by-Design

1 code implementation • 13 Jun 2022 • Trung Dong Huynh, Niko Tsakalakis, Ayah Helal, Sophie Stalla-Bourdillon, Luc Moreau

The methodology consists of three phases: (A) Explanation Requirement Analysis, (B) Explanation Technical Design, and (C) Explanation Validation.

Decision Making Sentence

A taxonomy of explanations to support Explainability-by-Design

no code implementations • 9 Jun 2022 • Niko Tsakalakis, Sophie Stalla-Bourdillon, Trung Dong Huynh, Luc Moreau

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.

Decision Making

Provenance Graph Kernel

1 code implementation • 20 Oct 2020 • David Kohan Marzagão, Trung Dong Huynh, Ayah Helal, Sean Baccas, Luc Moreau

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.