On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images. - Gauri Bhardwaj; Yuvaraj Govindarajulu; Sundaraparipurnan Narayanan; Pavan Kulkarni; Manojkumar Parmar (CoRR, 2023)

Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools. - Sundaraparipurnan Narayanan (CoRR, 2023)

Fairness-accuracy tradeoff: activation function choice in a neural network. - Michael B. McCarthy; Sundaraparipurnan Narayanan (AI Ethics, 2023)

A risk-based approach to assessing liability risk for AI-driven harms considering EU liability directive. - Sundaraparipurnan Narayanan; Mark Potkewitz (CoRR, 2024)

Decoding the Digital Fine Print: Navigating the potholes in Terms of service/ use of GenAI tools against the emerging need for Transparent and Trustworthy Tech Futures. - Sundaraparipurnan Narayanan (CoRR, 2024)

GUARD-D-LLM: An LLM-Based Risk Assessment Engine for the Downstream uses of LLMs. - Sundaraparipurnan Narayanan; Sandeep Vishwakarma (CoRR, 2024)

Unmasking the Reality of PII Masking Models: Performance Gaps and the Call for Accountability. - Devansh Singh; Sundaraparipurnan Narayanan (CoRR, 2025)