Titlebook: Machine Learning and Knowledge Extraction; 6th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2022

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書目名稱Machine Learning and Knowledge Extraction影響因子(影響力)




書目名稱Machine Learning and Knowledge Extraction影響因子(影響力)學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction網(wǎng)絡(luò)公開度




書目名稱Machine Learning and Knowledge Extraction網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction被引頻次




書目名稱Machine Learning and Knowledge Extraction被引頻次學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction年度引用




書目名稱Machine Learning and Knowledge Extraction年度引用學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction讀者反饋




書目名稱Machine Learning and Knowledge Extraction讀者反饋學(xué)科排名

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620556.jpg

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https://doi.org/10.1007/978-3-031-14463-9artificial intelligence; computer networks; computer science; computer systems; computer vision; data min

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,Effects of?Fairness and?Explanation on?Trust in?Ethical AI,d decision making. The results show that the use of AI explanations and fairness statements in AI applications is complex: we need to consider not only the type of explanations, but also the level of fairness introduced. This is a strong motivation for further work.

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