2 citations · 3 across the 7 of their papers we have counts for
8 papers
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…
Complying with the EU AI Act
Jacintha Walters, Diptish Dey, Debarati Bhaumik +1
The EU AI Act is the proposed EU legislation concerning AI systems. This paper identifies several categories of the AI Act. Based on this categorization, a questionnaire is develop…
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…
Inter-relational Model for understanding Chatbot acceptance across retail sectors
Diptish Dey, Debarati Bhaumik
Despite the rising interest in chatbots, deployment has been slow in the retail sector. In the absence of comparative cross sector research on the user acceptance of chatbots in re…
Computing first passage times for Markov-modulated fluid models using numerical PDE problem solvers
Debarati Bhaumik, Marko A. A. Boon, Daan Crommelin +2
A popular method to compute first-passage probabilities in continuous-time Markov chains is by numerically inverting their Laplace transforms. Past decades, the scientific computin…