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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Vydané v:	IEEE transactions on visualization and computer graphics Ročník 28; číslo 1; s. 1161 - 1171
Hlavní autori:	Zytek, Alexandra, Liu, Dongyu, Vaithianathan, Rhema, Veeramachaneni, Kalyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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