WebApr 12, 2024 · Trustworthy Machine Learning. Abstract: Machine learning (ML) techniques have numerous applications in many fields, including healthcare, medicine, finance, … WebIBM's AI Fairness 360 provides an open source toolkit to check for unwanted bias in datasets and machine learning models. 55 Google's TensorFlow kit provides "fairness indicators" for evaluating binary and multi-class classifiers for fairness. 31 Microsoft's Fairlearn is an open source package for machine learning developers to assess their …

Practices for Engineering Trustworthy Machine Learning …

WebAuthors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a … WebDistance Education or e-Learning platform should be able to provide a virtual laboratory to let the participants have hands-on exercise experiences in practicing their skill remotely. Especially in Cybersecurity e-Learning where the participants need to be able to attack or defend the IT System. To have a hands-on exercise, the virtual laboratory environment … inchworm in spanish

Safe and Trustworthy Machine Learning Frontiers Research Topic

WebJan 3, 2024 · Yada Pruksachatkun is a machine learning scientist at Infinitus, a conversational AI startup that automates calls in the healthcare system. She has worked … WebMar 1, 2024 · Machine learning (ML) has become essential to a vast range of applications, while ML experts are in short supply. To alleviate this problem, AutoML aims to make ML … Webtrustworthy ML systems; it is open for review and contributions. Index Terms—software engineering, machine learning, trust-worthiness, robustness I. INTRODUCTION The recent … inchworm inchworm