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Judgment

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How Could We Know When a Robot was a Moral Patient?

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees
There is growing interest in machine ethics in the question of whether and under what circumstances an artificial intelligence would deserve moral consideration. This paper explores a particular type of moral status that the author terms psychologica...

A deep-learning framework for human perception of abstract art composition.

Journal of vision
Artistic composition (the structural organization of pictorial elements) is often characterized by some basic rules and heuristics, but art history does not offer quantitative tools for segmenting individual elements, measuring their interactions and...

Naïve Definitions of Action and Inaction: A Study of Free Associations Using Natural Language Processing and Top-Down Coding.

Psicothema
BACKGROUND: Even though the terms "action" and "inaction" have been used to describe objects of attitudes, behaviors, and goals, the meaning of action and inaction for lay people has not been investigated.

Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory.

Cognitive science
We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on ...

An Examination of Public Discourse on Human Gene Editing Using Natural Language Processing.

The CRISPR journal
This research aims to explore the different ways in which scientists, ethicists, journalists, and commissions speak to the public about new gene-editing technologies. The research collected more than 100,000 sentences from books, news articles, and r...

Deep learning models to remix music for cochlear implant users.

The Journal of the Acoustical Society of America
The severe hearing loss problems that some people suffer can be treated by providing them with a surgically implanted electrical device called cochlear implant (CI). CI users struggle to perceive complex audio signals such as music; however, previous...

Against the iDoctor: why artificial intelligence should not replace physician judgment.

Theoretical medicine and bioethics
Experts in medical informatics have argued for the incorporation of ever more machine-learning algorithms into medical care. As artificial intelligence (AI) research advances, such technologies raise the possibility of an "iDoctor," a machine theoret...

Predicting similarity judgments in intertemporal choice with machine learning.

Psychonomic bulletin & review
Similarity models of intertemporal choice are heuristics that choose based on similarity judgments of the reward amounts and time delays. Yet, we do not know how these judgments are made. Here, we use machine-learning algorithms to assess what factor...

Dx-Care: A Device to Help in the Diagnosis of Care Problems.

Studies in health technology and informatics
The diagnosis of care problems is a complex process that involves many variables and inferences. This competence begins to acquire during the student stage, but matures later. The qualified professional continues to settle and perfect this judgment a...

A transfer learning approach to goodness of pronunciation based automatic mispronunciation detection.

The Journal of the Acoustical Society of America
Goodness of pronunciation (GOP) is the most widely used method for automatic mispronunciation detection. In this paper, a transfer learning approach to GOP based mispronunciation detection when applying maximum F1-score criterion (MFC) training to de...