28 citations · 36 across the 2 of their papers we have counts for
5 papers
Bias in Machine Learning Software: Why? How? What to do?
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
Increasingly, software is making autonomous decisions in case of criminal sentencing, approving credit cards, hiring employees, and so on. Some of these decisions show bias and adv…
Making Fair ML Software using Trustworthy Explanation
Joymallya Chakraborty, Kewen Peng, Tim Menzies
Machine learning software is being used in many applications (finance, hiring, admissions, criminal justice) having a huge social impact. But sometimes the behavior of this softwar…
Fairway: A Way to Build Fair ML Software
Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu +1
Machine learning software is increasingly being used to make decisions that affect people's lives. But sometimes, the core part of this software (the learned model), behaves in a b…
Predicting Breakdowns in Cloud Services (with SPIKE)
Jianfeng Chen, Joymallya Chakraborty, Philip Clark +3
Maintaining web-services is a mission-critical task where any down-time means loss of revenue and reputation (of being a reliable service provider). In the current competitive web…
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid +1
We assert that it is the ethical duty of software engineers to strive to reduce software discrimination. This paper discusses how that might be done. This is an important topic sin…