265 citations · 290 across the 3 of their papers we have counts for
4 papers
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind +15
Fairness is an increasingly important concern as machine learning models are used to support decision making in high-stakes applications such as mortgage lending, hiring, and priso…
Automated Test Generation to Detect Individual Discrimination in AI Models
Aniya Agarwal, Pranay Lohia, Seema Nagar +2
Dependability on AI models is of utmost importance to ensure full acceptance of the AI systems. One of the key aspects of the dependable AI system is to ensure that all its decisio…
Leveraging Cognitive Features for Sentiment Analysis
Abhijit Mishra, Diptesh Kanojia, Seema Nagar +2
Sentiments expressed in user-generated short text and sentences are nuanced by subtleties at lexical, syntactic, semantic and pragmatic levels. To address this, we propose to augme…
Harnessing Cognitive Features for Sarcasm Detection
Abhijit Mishra, Diptesh Kanojia, Seema Nagar +2
In this paper, we propose a novel mechanism for enriching the feature vector, for the task of sarcasm detection, with cognitive features extracted from eye-movement patterns of hum…