1. Auditing black-box models for indirect influence
2. Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde Kalapriya Kannan Pranay Lohia Jacquelyn Martino Sameep Mehta Aleksandra Mojsilovic Seema Nagar Karthikeyan Natesan Ramamurthy John Richards Diptikalyan Saha Prasanna Sattigeri Moninder Singh Kush R. Varshney and Yunfeng Zhang. 2018. AI Fairness 360: An Extensible Toolkit for Detecting Understanding and Mitigating Unwanted Algorithmic Bias. https://arxiv.org/abs/1810.01943 Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde Kalapriya Kannan Pranay Lohia Jacquelyn Martino Sameep Mehta Aleksandra Mojsilovic Seema Nagar Karthikeyan Natesan Ramamurthy John Richards Diptikalyan Saha Prasanna Sattigeri Moninder Singh Kush R. Varshney and Yunfeng Zhang. 2018. AI Fairness 360: An Extensible Toolkit for Detecting Understanding and Mitigating Unwanted Algorithmic Bias. https://arxiv.org/abs/1810.01943
3. Identifying and Reducing Gender Bias in Word-Level Language Models
4. Flavio Calmon Dennis Wei Bhanukiran Vinzamuri Karthikeyan Natesan Ramamurthy and Kush R Varshney. 2017. Optimized pre-processing for discrimination prevention. In Advances in Neural Information Processing Systems. 3992--4001. Flavio Calmon Dennis Wei Bhanukiran Vinzamuri Karthikeyan Natesan Ramamurthy and Kush R Varshney. 2017. Optimized pre-processing for discrimination prevention. In Advances in Neural Information Processing Systems. 3992--4001.