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More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition
This paper investigates the user experience of visualizations of a machine learning (ML) system that recognizes objects in images.
How Fake News Affect Trust in the Output of a Machine Learning System for News Curation
In a study with 82 vocational school students with a background in IT, we found that users are able to provide trust ratings that distinguish trustworthy recommendations of quality news stories from untrustworthy recommendations.
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