The What, the Why, and the How of Artificial Explanations in Automated Decision-Making

by   Tarek R. Besold, et al.

The increasing incorporation of Artificial Intelligence in the form of automated systems into decision-making procedures highlights not only the importance of decision theory for automated systems but also the need for these decision procedures to be explainable to the people involved in them. Traditional realist accounts of explanation, wherein explanation is a relation that holds (or does not hold) eternally between an explanans and an explanandum, are not adequate to account for the notion of explanation required for artificial decision procedures. We offer an alternative account of explanation as used in the context of automated decision-making that makes explanation an epistemic phenomenon, and one that is dependent on context. This account of explanation better accounts for the way that we talk about, and use, explanations and derived concepts, such as `explanatory power', and also allows us to differentiate between reasons or causes on the one hand, which do not need to have an epistemic aspect, and explanations on the other, which do have such an aspect. Against this theoretical backdrop we then review existing approaches to explanation in Artificial Intelligence and Machine Learning, and suggest desiderata which truly explainable decision systems should fulfill.


page 1

page 2

page 3

page 4


On the Injunction of XAIxArt

The position paper highlights the range of concerns that are engulfed in...

SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition

Explainable artificial intelligence is gaining attention. However, most ...

Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR

The European Union (EU) through the High-Level Expert Group on Artificia...

Monetizing Explainable AI: A Double-edged Sword

Algorithms used by organizations increasingly wield power in society as ...

Epistemic values in feature importance methods: Lessons from feminist epistemology

As the public seeks greater accountability and transparency from machine...

Varying the explanatory span: scientific explanation for computer simulations

This article aims to develop a new account of scientific explanation for...

A systematic review and taxonomy of explanations in decision support and recommender systems

With the recent advances in the field of artificial intelligence, an inc...

Please sign up or login with your details

Forgot password? Click here to reset