Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making

Machine learning (ML) is being applied to a diverse and ever-growing set of domains. In many cases, domain experts - who often have no expertise in ML or data science - are asked to use ML predictions to make high-stakes decisions. Multiple ML usability challenges can appear as result, such as lack...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 28; H. 1; S. 1161 - 1171
Hauptverfasser:	Zytek, Alexandra, Liu, Dongyu, Vaithianathan, Rhema, Veeramachaneni, Kalyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Child welfare Context modeling Decision making Domains Iterative methods Machine learning Pediatrics Prediction algorithms Prediction models Predictive models Subject specialists Usability Visualization XAI
ISSN:	1077-2626, 1941-0506, 1941-0506
Online-Zugang:	Volltext
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