This asset introduces the "Altruist" method for transforming FI interpretations of ML models into insightful and validated explanations using argumentation based on classical logic. Altruist provides the local maximum truthful interpretation, as well as reasons for the truthfulness justification, and can be used as an easy-to-choose tool between X number of different interpretation techniques based on a few specific criteria. Altruist has innate virtues such as truthfulness, transparency and user-friendliness that characterise it as an apt tool for the XAI community.
Altruist is intended to provide more truthful explanations to machine learning models, towards a trustworthy machine learning component.
Altruist component is GDPR compliant (Articles 13–15) because it is providing a way to provide more truthful interpretations for machine learning models. This approach addresses the "explicability" requirement of the GDPR, where a requirement is fixed for automated decision processes that have an impact on humans.