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

• Published in: IEEE transactions on visualization and computer graphics Vol. 28; no. 1; pp. 1161 - 1171
• Main Authors: Zytek, Alexandra, Liu, Dongyu, Vaithianathan, Rhema, Veeramachaneni, Kalyan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Child welfare; Context modeling; Decision making; Domains; Iterative methods; Machine learning; Pediatrics; Prediction algorithms; Prediction models; Predictive models; Subject specialists; Usability; Visualization; XAI

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...