The paper formalizes contrastive explanations in description logics that answer why an ABox assertion P holds instead of a foil Q, with definitions, properties in EL and ALC, and an implementation.
In: AIES ’20: AAAI/ACM Conference on AI, Ethics, and Society
2 Pith papers cite this work. Polarity classification is still indexing.
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A scoping review of AIES and FAccT literature concludes that AI trustworthiness research prioritizes technical precision over social, ethical, and institutional factors, leaving the sociotechnical nature of AI systems underexplored.
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Rethinking Explanations: Formalizing Contrast in Description Logics
The paper formalizes contrastive explanations in description logics that answer why an ABox assertion P holds instead of a foil Q, with definitions, properties in EL and ALC, and an implementation.
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Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
A scoping review of AIES and FAccT literature concludes that AI trustworthiness research prioritizes technical precision over social, ethical, and institutional factors, leaving the sociotechnical nature of AI systems underexplored.