Search Results for author: Luc Moreau

Found 4 papers, 1 papers with code

On Specifying for Trustworthiness

no code implementations22 Jun 2022 Dhaminda B. Abeywickrama, Amel Bennaceur, Greg Chance, Yiannis Demiris, Anastasia Kordoni, Mark Levine, Luke Moffat, Luc Moreau, Mohammad Reza Mousavi, Bashar Nuseibeh, Subramanian Ramamoorthy, Jan Oliver Ringert, James Wilson, Shane Windsor, Kerstin Eder

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

no code implementations13 Jun 2022 Trung Dong Huynh, Niko Tsakalakis, Ayah Helal, Sophie Stalla-Bourdillon, Luc Moreau

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.

Decision Making

A taxonomy of explanations to support Explainability-by-Design

no code implementations9 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 implementation20 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.

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