Results 11 to 20 of about 60,361 (257)
Explainability in medicine in an era of AI-based clinical decision support systems
Frontiers in Genetics, 2022 The combination of “Big Data” and Artificial Intelligence (AI) is frequently promoted as having the potential to deliver valuable health benefits when applied to medical decision-making.
Robin L. Pierce +8 more
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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
BMC Medical Informatics and Decision Making, 2020 Background Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical tasks, the lack ...
Julia Amann +5 more
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Journal of Responsible Technology, 2021 Algorithmic decision support systems are widely applied in domains ranging from healthcare to journalism. To ensure that these systems are fair and accountable, it is essential that humans can maintain meaningful agency, understand and oversee ...
Auste Simkute +4 more
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XAI-Explainable artificial intelligence [PDF]
, 2019 Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence ...
Choi, J. +5 more
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Should explainers explain? [PDF]
Journal of Science Communication, 2005 One of the most common, and probably one of the crucial questions about science centers and interactive exhibitions is often phrased as “Ok, it’s fun, but do they learn anything?”. What follows is not an attempt to answer this question; we will just use it as a starting point for a discussion about the role of explainers in science centers.
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Journal of Perinatal Education, 2005 Childbirth educator humorously discusses props used as tools for teaching and teasing.
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LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees [PDF]
, 2020 Systems based on artificial intelligence and machine learning models should be transparent, in the sense of being capable of explaining their decisions to gain humans' approval and trust.
Flach, Peter, Sokol, Kacper
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Proceedings of the National Academy of Sciences, 2003 What do social survey data tell us about the determinants of happiness? First, that the psychologists' setpoint model is questionable. Life events in the nonpecuniary domain, such as marriage, divorce, and serious disability, have a lasting effect on happiness, and do not simply deflect the average person temporarily above or below a setpoint given by ...
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Knowledge Graph semantic enhancement of input data for improving AI
, 2020 Intelligent systems designed using machine learning algorithms require a large number of labeled data. Background knowledge provides complementary, real world factual information that can augment the limited labeled data to train a machine learning ...
Bhatt, Shreyansh +3 more
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Cognitive Science, 1994 Emotions and cognition are inextricably intertwined. Feelings influence thoughts and actions, which in turn can give rise to new emotional reactions. We claim that people infer emotional states in others using commonsense psychological theories of the interactions among emotions, cognition, and action.
O'Rorke, Paul, Ortony, Andrew
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