8 citations · 13 across the 2 of their papers we have counts for
3 papers
Testing Framework for Black-box AI Models
Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans +3
With widespread adoption of AI models for important decision making, ensuring reliability of such models remains an important challenge. In this paper, we present an end-to-end gen…
Extracting Fairness Policies from Legal Documents
Rashmi Nagpal, Chetna Wadhwa, Mallika Gupta +3
Machine Learning community is recently exploring the implications of bias and fairness with respect to the AI applications. The definition of fairness for such applications varies…
An End-To-End Machine Learning Pipeline That Ensures Fairness Policies
Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta +3
In consequential real-world applications, machine learning (ML) based systems are expected to provide fair and non-discriminatory decisions on candidates from groups defined by pro…