2 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
The AI-Fraud Diamond: A Novel Lens for Auditing Algorithmic Deception
Benjamin Zweers, Diptish Dey, Debarati Bhaumik
As artificial intelligence (AI) systems become increasingly integral to organizational processes, they introduce new forms of fraud that are often subtle, systemic, and concealed w…
Metrics for popularity bias in dynamic recommender systems
Valentijn Braun, Debarati Bhaumik, Diptish Dey
Albeit the widespread application of recommender systems (RecSys) in our daily lives, rather limited research has been done on quantifying unfairness and biases present in such sys…
APPRAISE: a governance framework for innovation with AI systems
Diptish Dey, Debarati Bhaumik
As artificial intelligence (AI) systems increasingly impact society, the EU Artificial Intelligence Act (AIA) is the first serious legislative attempt to contain the harmful effect…
An Audit Framework for Technical Assessment of Binary Classifiers
Debarati Bhaumik, Diptish Dey
Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Com…
A Framework for Auditing Multilevel Models using Explainability Methods
Debarati Bhaumik, Diptish Dey, Subhradeep Kayal
Applications of multilevel models usually result in binary classification within groups or hierarchies based on a set of input features. For transparent and ethical applications of…