3 citations · 4 across the 12 of their papers we have counts for
13 papers
Evaluating Ambient Clinical Scribes in India: The Need for Multilingual Real-World Clinical Conversation Data
Siddharth D Jaiswal, Krithi S, Ashish Makani +3
Ambient clinical scribes (ACS) are being rapidly deployed at scale across Global South healthcare settings, aiming to reduce clinician documentation time, especially in overburdene…
Playing Games with My Heart: An Evaluation of AI Companion Apps
Maribeth Rauh, Dick A. H. Blankvoort, Matias Duran +6
The use of chatbots for various forms of companionship is growing rapidly, raising a myriad of questions about simulated relationships, emotional dependence, and psychological harm…
Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction
Sagnik Basu, Shubham Prakash, Ashish Maruti Barge +4
Large language models (LLMs) have been extensively used for legal judgment prediction tasks based on case reports and crime history. However, with a surge in the availability of la…
Phonetic Perturbations Reveal Tokenizer-Rooted Safety Gaps in LLMs
Darpan Aswal, Siddharth D Jaiswal
Safety-aligned LLMs remain vulnerable to digital phenomena like textese that introduce non-canonical perturbations to words but preserve the phonetics. We introduce CMP-RT (code-mi…
Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions
Siddharth D Jaiswal, Sagnik Basu, Sandipan Sikdar +1
Automated Face Recognition Systems (FRSs), developed using deep learning models, are deployed worldwide for identity verification and facial attribute analysis. The performance of…
DENOASR: Debiasing ASRs through Selective Denoising
Anand Kumar Rai, Siddharth D Jaiswal, Shubham Prakash +2
Automatic Speech Recognition (ASR) systems have been examined and shown to exhibit biases toward particular groups of individuals, influenced by factors such as demographic traits,…
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
Siddharth D Jaiswal, Animesh Ganai, Abhisek Dash +2
Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates. Most platforms are designed in a limited set of countries but deployed in worldw…
Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages
Siddharth D Jaiswal, Abhisek Dash, Nitika Shroff +3
E-commerce platforms support the needs and livelihoods of their two most important stakeholders -- customers and producers/sellers. Multiple algorithmic systems, like ``search'' sy…
Mask-up: Investigating Biases in Face Re-identification for Masked Faces
Siddharth D Jaiswal, Ankit Kr. Verma, Animesh Mukherjee
AI based Face Recognition Systems (FRSs) are now widely distributed and deployed as MLaaS solutions all over the world, moreso since the COVID-19 pandemic for tasks ranging from va…
Auditing Gender Analyzers on Text Data
Siddharth D Jaiswal, Ankit Kumar Verma, Animesh Mukherjee
AI models have become extremely popular and accessible to the general public. However, they are continuously under the scanner due to their demonstrable biases toward various secti…
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos
Anand Kumar Rai, Siddharth D Jaiswal, Animesh Mukherjee
Automatic speech recognition (ASR) systems are designed to transcribe spoken language into written text and find utility in a variety of applications including voice assistants and…
Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items
Siddharth D Jaiswal, Animesh Mukherjee
Fashion, a highly subjective topic is interpreted differently by all individuals. E-commerce platforms, despite these diverse requirements, tend to cater to the average buyer inste…
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Siddharth D Jaiswal, Karthikeya Duggirala, Abhisek Dash +1
Computer vision applications like automated face detection are used for a variety of purposes ranging from unlocking smart devices to tracking potential persons of interest for sur…