Results 21 to 30 of about 220,602 (307)
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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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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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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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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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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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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Frontiers in Computer ScienceAdapting to the addressee is crucial for successful explanations, yet poses significant challenges for dialog systems. We adopted the approach of treating explanation generation as a non-stationary decision process, in which the optimal strategy varies ...
Amelie S. Robrecht-Hilbig +5 more
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Explaining Simulations Through Self Explaining Agents [PDF]
Journal of Artificial Societies and Social Simulation, 2010 Several strategies are used to explain emergent interaction patterns in agent-based simulations. A distinction can be made between simulations in which the agents just behave in a reactive way, and simulations involving agents with also pro-active (goal-directed) behavior.
Maaike Harbers +2 more
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