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Found 3 papers, 1 papers with code
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.
Observing and Recommending from a Social Web with Biases
The research question this report addresses is: how, and to what extent, those directly involved with the design, development and employment of a specific black box algorithm can be certain that it is not unlawfully discriminating (directly and/or indirectly) against particular persons with protected characteristics (e. g. gender, race and ethnicity)?
