Journal ArticleAI Magazine · September 1, 2022
Calls for Ethical AI have become urgent and pervasive, especially as ethical issues surrounding AI products at tech companies are increasingly scrutinized by the public. Yet even after a first wave of responses to these calls coalesced around Ethical AI pr ...
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Journal ArticleTrends in cognitive sciences · May 2022
Technological advances are enabling roles for machines that present novel ethical challenges. The study of 'AI ethics' has emerged to confront these challenges, and connects perspectives from philosophy, computer science, law, and economics. Less represent ...
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Journal ArticleBMC medical ethics · March 2022
BackgroundIn the early stages of the COVID-19 pandemic, many health systems, including those in the UK, developed triage guidelines to manage severe shortages of ventilators. At present, there is an insufficient understanding of how the public vie ...
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Journal Article35th AAAI Conference on Artificial Intelligence, AAAI 2021 · January 1, 2021
AI systems are often used to make or contribute to important decisions in a growing range of applications, including criminal justice, hiring, and medicine. Since these decisions impact human lives, it is important that the AI systems act in ways which ali ...
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Journal ArticleBig Data and Society · January 1, 2021
Big Data and Artificial Intelligence have a symbiotic relationship. Artificial Intelligence needs to be trained on Big Data to be accurate, and Big Data's value is largely realized through its use by Artificial Intelligence. As a result, Big Data and Artif ...
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Journal ArticleJournal of machine learning research : JMLR · January 2021
Many modern data sets require inference methods that can estimate the shared and individual-specific components of variability in collections of matrices that change over time. Promising methods have been developed to analyze these types of data in static ...
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ConferenceProceedings - 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021 · January 1, 2021
Diverse disciplines are interested in how the coordination of interacting agents' movements, emotions, and physiology over time impacts social behavior. Here, we describe a new multivariate procedure for automating the investigation of this kind of behavio ...
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Journal ArticleArtificial Intelligence · June 1, 2020
The efficient and fair allocation of limited resources is a classical problem in economics and computer science. In kidney exchanges, a central market maker allocates living kidney donors to patients in need of an organ. Patients and donors in kidney excha ...
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Journal ArticleAIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · February 7, 2020
Given AI's growing role in modeling and improving decision-making, how and when to present users with feedback is an urgent topic to address. We empirically examined the effect of feedback from false AI on moral decision-making about donor kidney allocatio ...
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Journal ArticleClinical Psychological Science · January 1, 2020
The elicitors of disgust are heterogeneous, which makes attributing one function to disgust challenging. Theorists have proposed that disgust solves multiple adaptive problems and comprises multiple functional domains. However, theories conflict with regar ...
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Journal ArticleAutism · April 2019
To demonstrate the capability of computer vision analysis to detect atypical orienting and attention behaviors in toddlers with autism spectrum disorder. One hundered and four toddlers of 16-31 months old (mean = 22) participated in this study. Twenty-two ...
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ConferenceAIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society · December 27, 2018
AI systems are now or will soon be sophisticated enough to make consequential decisions. Although this technology has flourished, we also need public appraisals of AI systems playing these more important roles. This article reports surveys of preferences f ...
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ConferenceInternational Symposium on Artificial Intelligence and Mathematics, ISAIM 2018 · January 1, 2018
The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lackin ...
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Conference32nd AAAI Conference on Artificial Intelligence, AAAI 2018 · January 1, 2018
The efficient allocation of limited resources is a classical problem in economics and computer science. In kidney exchanges, a central market maker allocates living kidney donors to patients in need of an organ. Patients and donors in kidney exchanges are ...
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Journal ArticleNPJ Digit Med · 2018
Current tools for objectively measuring young children's observed behaviors are expensive, time-consuming, and require extensive training and professional administration. The lack of scalable, reliable, and validated tools impacts access to evidence-based ...
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Journal ArticleBrain Behav · June 2017
INTRODUCTION: It is unknown how the brain coordinates decisions to withstand personal costs in order to prevent other individuals' distress. Here we test whether local field potential (LFP) oscillations between brain regions create "neural contexts" that s ...
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ConferenceAAAI Workshop - Technical Report · January 1, 2017
The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lackin ...
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Journal ArticleCognitive, affective & behavioral neuroscience · December 2016
Psychopathy is a disorder characterized by severe and frequent moral violations in multiple domains of life. Numerous studies have shown psychopathy-related limbic brain abnormalities during moral processing; however, these studies only examined negatively ...
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Journal ArticlePsychopharmacology · September 2016
RationaleStimulant use is a significant and prevalent problem, particularly in criminal populations. Previous studies found that cocaine and methamphetamine use is related to impairment in identifying emotions and empathy. Stimulant users also hav ...
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Journal ArticleeNeuro · 2015
Simultaneous neural recordings taken from multiple areas of the rodent brain are garnering growing interest due to the insight they can provide about spatially distributed neural circuitry. The promise of such recordings has inspired great progress in meth ...
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Journal ArticleJournal of personality and social psychology · October 2013
Psychopathy research is plagued by an enigma: Psychopaths reliably act immorally, but they also accurately report whether an action is morally wrong. The current study revealed that cooperative suppressor effects and conflicting subsets of personality trai ...
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Journal ArticleSocial neuroscience · January 2011
How people judge something to be morally right or wrong is a fundamental question of both the sciences and the humanities. Here we aim to identify the neural processes that underlie the specific conclusion that something is morally wrong. To do this, we in ...
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Journal ArticleBest practice & research. Clinical endocrinology & metabolism · October 2010
Sleep and metabolism are intertwined physiologically and behaviorally, but the neural systems underlying their coordination are still poorly understood. The hypothalamus is likely to play a major role in the regulation sleep, metabolism, and their interact ...
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Journal ArticleCurrent opinion in pharmacology · February 2009
The hypocretins (abbreviated 'Hcrts' - also called 'orexins') are two neuropeptides secreted exclusively by a small population of neurons in the lateral hypothalamus. These peptides bind to two receptors located throughout the brain in nuclei associated wi ...
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Journal ArticleJournal of cognitive neuroscience · September 2008
Disgust, an emotion related to avoiding harmful substances, has been linked to moral judgments in many behavioral studies. However, the fact that participants report feelings of disgust when thinking about feces and a heinous crime does not necessarily ind ...
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Journal ArticleBrain research · June 2006
Motor-related regions of parietal and prefrontal cortices have been shown to selectively activate when observers passively view objects that afford manual grasping. Yet, it remains unknown whether these cortical responses depend on prior motor-related expe ...
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Journal ArticleJournal of cognitive neuroscience · May 2006
The traditional philosophical doctrines of Consequentialism, Doing and Allowing, and Double Effect prescribe that moral judgments and decisions should be based on consequences, action (as opposed to inaction), and intention. This study uses functional magn ...
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Journal ArticleNeuroImage · May 2005
Visual spatial attention has long been associated with facilitatory effects on visual perception. Here, we report that spatial attention can also modulate implicit visuomotor processing in dorsal regions of human cortex. Participants underwent fMRI scannin ...
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Conference
One of the goals of neuroscience is to identify neural networks that correlate with important behaviors, environments, or genotypes. This work proposes a strategy for identifying neural networks characterized by time- and frequency-dependent connectivity p ...
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Conference
One of the goals of neuroscience is to identify neural networks that correlate with important behaviors, environments, or genotypes. This work proposes a strategy for identifying neural networks characterized by time- and frequency-dependent connectivity p ...
Cite
Conference
The local field potential (LFP) is a source of information about the broad patterns of brain activity, and the frequencies present in these time-series measurements are often highly correlated between regions. It is believed that these regions may jointly ...
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Conference
The generality of decision and game theory has enabled
domain-independent progress in AI research. For example,
a better algorithm for finding good policies in (PO)MDPs can
be instantly used in a variety of applications. But such a general
theory is lackin ...
Cite