activity
20142023
most citedAI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

265 citations · 566 across the 18 of their papers we have counts for

collaborators

23 papers

cs.CL2023

"Beware of deception": Detecting Half-Truth and Debunking it through Controlled Claim Editing

Sandeep Singamsetty, Nishtha Madaan, Sameep Mehta +2

The prevalence of half-truths, which are statements containing some truth but that are ultimately deceptive, has risen with the increasing use of the internet. To help combat this…

cs.CL2023

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation

Rahul Madhavan, Rishabh Garg, Kahini Wadhawan +1

We propose a method to control the attributes of Language Models (LMs) for the text generation task using Causal Average Treatment Effect (ATE) scores and counterfactual augmentati…

cs.LG2021★ 21 cited

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets

Nitin Gupta, Hima Patel, Shazia Afzal +10

The quality of training data has a huge impact on the efficiency, accuracy and complexity of machine learning tasks. Various tools and techniques are available that assess data qua…

cs.CR2020★ 3 cited

Explainable Link Prediction for Privacy-Preserving Contact Tracing

Balaji Ganesan, Hima Patel, Sameep Mehta

Contact Tracing has been used to identify people who were in close proximity to those infected with SARS-Cov2 coronavirus. A number of digital contract tracing applications have be…

cs.DB2020

Data Readiness Report

Shazia Afzal, Rajmohan C, Manish Kesarwani +2

Data exploration and quality analysis is an important yet tedious process in the AI pipeline. Current practices of data cleaning and data readiness assessment for machine learning…

cs.DC2020★ 40 cited

Ownership preserving AI Market Places using Blockchain

Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya +4

We present a blockchain based system that allows data owners, cloud vendors, and AI developers to collaboratively train machine learning models in a trustless AI marketplace. Data…