47 citations · 48 across the 4 of their papers we have counts for
5 papers
RupeeBias: Auditing Demographic Bias in Indian Economic Guidance from Large Language Models
Pavithra P M Nair, Bhavik Talaviya, Shourya Bhushan +5
Individuals turn to large language models (LLMs) for guidance across a wide range of economic tasks, from comparing loan options and planning savings to deciding what raise to ask…
Benchmark-Based Comparative Assessment of Publicly Benchmarked Indian Foundation Models: A Capability and Evaluation-Maturity Framework
Avinash Agarwal, Vridhi Jain
Purpose: Governments increasingly fund indigenous foundation models to strengthen national AI capability, digital sovereignty, and multilingual computing. This paper assesses India…
A federated architecture for sector-led AI governance: lessons from India
Avinash Agarwal, Manisha J. Nene
Purpose: India has adopted a vertical, sector-led AI governance strategy. While promoting innovation, such a light-touch approach risks policy fragmentation. This paper aims to pro…
Nishpaksh: TEC Standard-Compliant Framework for Fairness Auditing and Certification of AI Models
Shashank Prakash, Ranjitha Prasad, Avinash Agarwal
The growing reliance on Artificial Intelligence (AI) models in high-stakes decision-making systems, particularly within emerging telecom and 6G applications, underscores the urgent…
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems
Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal
Decisions made by various Artificial Intelligence (AI) systems greatly influence our day-to-day lives. With the increasing use of AI systems, it becomes crucial to know that they a…