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Legal requirements on explainability in machine learning [PDF]
, 2021 Deep learning and other black-box models are becoming more and more popular today. Despite their high performance, they may not be accepted ethically or legally because of their lack of explainability.
Frénay, Benoît; id_orcid +3 more
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, 2022 This is the supplementary material for the research paper "Quo Vadis, Explainability? ‒ A Research Roadmap for Explainability Engineering" accepted at the 28th International Working Conference on Requirement Engineering: Foundation for Software ...
Klös, Verena +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.
Paul O'Rorke, Andrew Ortony
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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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2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 2020 The Defense Advanced Research Projects Agency (DARPA) recently launched the Explainable Artificial Intelligence (XAI) program that aims to create a suite of new AI techniques that enable end users to understand, appropriately trust, and effectively manage the emerging generation of AI systems.
Luca Viganò 0001, Daniele Magazzeni
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Explainability in Music Recommender Systems
, 2022 The most common way to listen to recorded music nowadays is via streaming platforms which provide access to tens of millions of tracks. To assist users in effectively browsing these large catalogs, the integration of Music Recommender Systems (MRSs) has ...
Schedl, Markus +5 more
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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
doaj +1 more source
Explainable Distance-Based Outlier Detection in Data Streams
IEEE Access, 2022 Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection, and through investigating ...
Theodoros Toliopoulos +1 more
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Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic MethodsExplanation is key to people having confidence in high-stakes AI systems. However, machine-learning-based systems -- which account for almost all current AI -- can't explain because they are usually black boxes. The explainable AI (XAI) movement hedges this problem by redefining "explanation".
Sergei Nirenburg +3 more
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, 2023 This study investigates the influence of explainability on trust and trust-based behavior in artificial intelligence (AI) when errors occur. Using explainability can help to make system errors of the AI more comprehensible, but also reduces trust and ...
Eileen Roesler, Tobias Rieger
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