11 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 11 cited
Generating User-friendly Explanations for Loan Denials using GANs
Ramya Srinivasan, Ajay Chander, Pouya Pezeshkpour
Financial decisions impact our lives, and thus everyone from the regulator to the consumer is interested in fair, sound, and explainable decisions. There is increasing competitive…
cs.HC2019★ 2 cited
Crowdsourcing in the Absence of Ground Truth -- A Case Study
Ramya Srinivasan, Ajay Chander
Crowdsourcing information constitutes an important aspect of human-in-the-loop learning for researchers across multiple disciplines such as AI, HCI, and social science. While using…
cs.CY2019★ 3 cited
Creation of User Friendly Datasets: Insights from a Case Study concerning Explanations of Loan Denials
Ajay Chander, Ramya Srinivasan
Most explainable AI (XAI) techniques are concerned with the design of algorithms to explain the AI's decision. However, the data that is used to train these algorithms may contain…