Search Results for author: Avijit Ghosh

Found 5 papers, 1 papers with code

FairCanary: Rapid Continuous Explainable Fairness

no code implementations13 Jun 2021 Avijit Ghosh, Aalok Shanbhag

Machine Learning (ML) models are being used in all facets of today's society to make high stake decisions like bail granting or credit lending, with very minimal regulations.


When Fair Ranking Meets Uncertain Inference

1 code implementation5 May 2021 Avijit Ghosh, Ritam Dutt, Christo Wilson

Existing fair ranking systems, especially those designed to be demographically fair, assume that accurate demographic information about individuals is available to the ranking algorithm.


Unified Shapley Framework to Explain Prediction Drift

no code implementations15 Feb 2021 Aalok Shanbhag, Avijit Ghosh, Josh Rubin

Predictions are the currency of a machine learning model, and to understand the model's behavior over segments of a dataset, or over time, is an important problem in machine learning research and practice.

Characterizing Intersectional Group Fairness with Worst-Case Comparisons

no code implementations5 Jan 2021 Avijit Ghosh, Lea Genuit, Mary Reagan

Machine Learning or Artificial Intelligence algorithms have gained considerable scrutiny in recent times owing to their propensity towards imitating and amplifying existing prejudices in society.


Public Sphere 2.0: Targeted Commenting in Online News Media

no code implementations21 Feb 2019 Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty

Because the readers lack the time to go over an entire article, most of the comments are relevant to only particular sections of an article.

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