先兆
发表于 2025-3-23 12:19:41
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Arctic
发表于 2025-3-23 14:26:39
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beta-carotene
发表于 2025-3-23 18:03:39
Dominik Collet,Maximilian Schuhor the user role “system tester of AI-based systems.” It investigates whether established explanation types adequately address the explainability requirements of ML-based application testers. Through a qualitative study (n = 12), we identified the explanation needs for three user tasks: test strateg
atopic
发表于 2025-3-23 22:34:17
Dominik Collet,Maximilian Schuhto provide tailored emotional support for older adults. This unique combination fosters critical thinking and engagement through iterative questioning, explicitly addressing older adults’ cognitive and emotional needs. This paper outlines a systematic approach for integrating a Socratic, ethical, an
针叶类的树
发表于 2025-3-24 05:27:09
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patriarch
发表于 2025-3-24 06:50:09
Rudolf Brázdil,Oldřich Kotyza,Martin Bauch, the importance of user experience in XAI has become increasingly prominent. Simultaneously, the user interface (UI) serves as a crucial link between XAI and users. However, despite the existence of UI design principles for XAI, there is a lack of prioritization based on their significance. This wi
Lipoma
发表于 2025-3-24 13:06:26
Dominik Collet,Maximilian Schuhy advanced technology on the one hand and non-expert users on the other hand can lead to unfounded reliance. To improve collaboration between end-users and the system, Explainable AI (XAI) is gaining momentum. However, recent studies yield mixed results on the effects of explanations, leaving uncert
遗传
发表于 2025-3-24 17:05:44
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金盘是高原
发表于 2025-3-24 19:52:45
H.-G. Dammann,M. Dreyer,P. Müller,B. Simonture and therefore the seemingly opacity and inscrutability of their characteristics and decision-making process. Literature extensively discusses how this can lead to phenomena of over-reliance and under-reliance, ultimately limiting the adoption of AI. We addressed these issues by building a theor
逗留
发表于 2025-3-25 00:09:36
https://doi.org/10.1007/978-3-642-73807-4uested in the European Aviation Safety Agency’s AI Roadmap 2.0 in order to meet the requirement of Trustworthy AI. The IPAS is currently being developed to provide AI-based decision support in commercial aircraft to assist the flight crew, especially in emergency situations. The development of the I