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Which explainable AI methods in medical imaging are clinically impactful? A systematic literature review addressing the clinician's perspective. [PDF]
Front Artif IntellUd Din S +7 more
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Global patterns and inequalities in healthy aging: a multidimensional analysis using composite index and explainable AI. [PDF]
Front Public HealthÇelik S, Köroğlu CZ.
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FeXAI: Federated and Explainable AI for cyber threat detection in IoT-enabled smart transportation systems. [PDF]
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Explainable for Trustworthy AI
2023Black-box Artificial Intelligence (AI) systems for automated decision making are often based on over (big) human data, map a user’s features into a class or a score without exposing why. This is problematic for the lack of transparency and possible biases inherited by the algorithms from human prejudices and collection artefacts hidden in the training ...
Fosca Giannotti +2 more
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Introduction to Explainable AI
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020As Artificial Intelligence (AI) technologies are increasingly used to make important decisions and perform autonomous tasks, providing explanations that allow users to understand the AI has become a ubiquitous concern in human-AI interaction. Recently, a number of open-source toolkits are making the growing collection of of Explainable AI (XAI ...
Q. Vera Liao +3 more
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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Artificial Intelligence is increasingly playing an integral role in determining our day-to-day experiences. Moreover, with proliferation of AI based solutions in areas such as hiring, lending, criminal justice, healthcare, and education, the resulting personal and professional implications of AI are far-reaching.
Krishna Gade +4 more
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Artificial Intelligence is increasingly playing an integral role in determining our day-to-day experiences. Moreover, with proliferation of AI based solutions in areas such as hiring, lending, criminal justice, healthcare, and education, the resulting personal and professional implications of AI are far-reaching.
Krishna Gade +4 more
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2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), 2020
Artificial Intelligence (AI) is an enabling technology that when integrated into healthcare applications and smart wearable devices such as Fitbits etc. can predict the occurrence of health conditions in users by capturing and analysing their health data. The integration of AI and smart wearable devices has a range of potential applications in the area
Urja Pawar +3 more
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Artificial Intelligence (AI) is an enabling technology that when integrated into healthcare applications and smart wearable devices such as Fitbits etc. can predict the occurrence of health conditions in users by capturing and analysing their health data. The integration of AI and smart wearable devices has a range of potential applications in the area
Urja Pawar +3 more
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XRDS: Crossroads, The ACM Magazine for Students, 2019
How good are you at explaining your decisions? Are you better than a machine? Today, AI systems are being asked to explain their decisions. This article explores the challenges in solving this problem and approaches researchers are pursuing.
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How good are you at explaining your decisions? Are you better than a machine? Today, AI systems are being asked to explain their decisions. This article explores the challenges in solving this problem and approaches researchers are pursuing.
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Explaining Explanation For “Explainable Ai”
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2018What makes for an explanation of “black box” AI systems such as Deep Nets? We reviewed the pertinent literatures on explanation and derived key ideas. This set the stage for our empirical inquiries, which include conceptual cognitive modeling, the analysis of a corpus of cases of "naturalistic explanation" of computational systems, computational ...
Robert R. Hoffman +2 more
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