In this paper, we propose standard statistical tools as a solution to commonly highlighted
problems in the explainability literature. Indeed, leveraging statistical estimators allows for a …

Over the last few years, there has been an increasing interest in the transparency of
computational models, in particular systems that are referred to as 'black-box models'. These …

Machine ethics is a young discipline that deals with machine morality or artificial morality,
just as artificial intelligence (AI) deals with artificial intelligence [1, 4, 12, 16]. The carriers of …

Utilizing the film I, Robot as a springboard, this article considers the feasibility of robot
utilitarians, the moral responsibilities that come with the creation of ethical robots, and the …

The challenge of creating interpretable models has been taken up by two main research
communities: ML researchers primarily focused on lower-level explainability methods that …

No one has done more to develop machine ethics than Anderson and Anderson (2007,
2010, 2011, 2014, 2015a, 2015b; with Armen, 2006; with Berenz, 2017). Throughout the …

This chapter will argue that artificial agents created or synthesized by technologies such as
artificial life (ALife), artificial intelligence (AI), and in robotics present unique challenges to …

The field of" machine ethics" has raised the issue of the moral agency and responsibility of
artificial entities, like computers and robots under the heading of" artificial moral …

Due to the absence of ground truth, objective evaluation of explainability methods is an
essential research direction. So far, the vast majority of evaluations can be summarized into …

Explainable artificial intelligence (XAI) seeks to produce explanations for those machine
learning methods which are deemed opaque. However, there is considerable disagreement …