Abstract Embodiment is typically given insufficient weight in debates concerning the moral status of Novel Synthetic Beings (NSBs) such as sentient or sapient Artificial Intelligences (AIs). Discussion usually turns on whether AIs are conscious self-aware, but this does not exhaust what morally relevant. Since agency encompasses a being wants to do, means by which it enacts choices world featur...

We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matches the underlying learning problem in the sense that it can asymptotically represent the function to be learned and is sufficiently smooth. Thus, kernels do not only transform data sets such that good generalization can...

Feature selection is an important task in many problems occurring in pattern recognition, bioinformatics, machine learning and data mining applications. The feature selection approach enables us to reduce the computation burden and the falling accuracy effect of dealing with huge number of features in typical learning problems. There is a variety of techniques for feature selection in supervise...

The analysis of a dispute can focus on either interests, rights, or power. Commentators often frame the conflict over conscience in clinical practice as a dispute between a patient's right to legally available medical treatment and a clinician's right to refuse to provide interventions the clinician finds morally objectionable. Multiple sources of unresolvable moral disagreement make resolution...

Moral judgment often involves pinning causation for harm to a particular person. Since it reveals “who one sides with”, expression of moral judgment can be a costly social act that people may be motivated to conceal. Here, we demonstrate that a simple, well-studied psycholinguistic task (implicit causality) can be leveraged as a novel implicit measure of morally relevant causal attributions. Pa...