ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. - Kausik Lakkaraju; Thahimum Hassan; Vedant Khandelwal; Prathamjeet Singh; Cassidy Bradley; Ronak Shah; Forest Agostinelli; Biplav Srivastava; Dezhi Wu (AAAI, 2022)

Why is my System Biased?: Rating of AI Systems through a Causal Lens. - Kausik Lakkaraju (AIES, 2022)

Data-Based Insights for the Masses: Scaling Natural Language Querying to Middleware Data. - Kausik Lakkaraju; Vinamra Palaiya; Sai Teja Paladi; Chinmayi Appajigowda; Biplav Srivastava; Lokesh Johri (DASFAA (3), 2022)

A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process. - Vishal Pallagani; Priyadharsini Ramamurthy; Vedant Khandelwal; Revathy Venkataramanan; Kausik Lakkaraju; Sathyanarayanan N. Aakur; Biplav Srivastava (CoRR, 2022)

LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making. - Kausik Lakkaraju; Sara E. Jones; Sai Krishna Revanth Vuruma; Vishal Pallagani; Bharath C. Muppasani; Biplav Srivastava (ICAIF, 2023)

The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias. - Kausik Lakkaraju; Aniket Gupta; Biplav Srivastava; Marco Valtorta; Dezhi Wu (TPS-ISA, 2023)

Rating Sentiment Analysis Systems for Bias through a Causal Lens. - Kausik Lakkaraju; Biplav Srivastava; Marco Valtorta (CoRR, 2023)

Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes. - Kausik Lakkaraju; Sai Krishna Revanth Vuruma; Vishal Pallagani; Bharath Muppasani; Biplav Srivastava (CoRR, 2023)

Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems. - Biplav Srivastava; Kausik Lakkaraju; Tarmo Koppel; Vignesh Narayanan; Ashish Kundu; Sachindra Joshi (CoRR, 2023)

On safe and usable chatbots for promoting voter participation. - Bharath Muppasani; Vishal Pallagani; Kausik Lakkaraju; Shuge Lei; Biplav Srivastava; Brett W. Robertson; Andrea Hickerson; Vignesh Narayanan (AI Mag., 2023)

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube. - Kausik Lakkaraju; Vedant Khandelwal; Biplav Srivastava; Forest Agostinelli; Hengtao Tang; Prathamjeet Singh; Dezhi Wu; Matthew Irvin; Ashish Kundu (CoRR, 2024)

Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. - Kausik Lakkaraju; Rachneet Kaur; Zhen Zeng; Parisa Zehtabi; Sunandita Patra; Biplav Srivastava; Marco Valtorta (CoRR, 2024)

BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes. - Vansh Nagpal; Siva Likitha Valluru; Kausik Lakkaraju; Biplav Srivastava (CoRR, 2024)

A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes and its Implementation in BEACON. - Vansh Nagpal; Siva Likitha Valluru; Kausik Lakkaraju; Nitin Gupta; Zach Abdulrahman; Andrew Davison; Biplav Srivastava (CoRR, 2024)

Advances in automatically rating the trustworthiness of text processing services. - Biplav Srivastava; Kausik Lakkaraju; Mariana Bernagozzi; Marco Valtorta (AI Ethics, 2024)

On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. - Kausik Lakkaraju; Rachneet Kaur; Parisa Zehtabi; Sunandita Patra; Siva Likitha Valluru; Zhen Zeng; Biplav Srivastava; Marco Valtorta (CoRR, 2025)

SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness. - Biplav Srivastava; Kausik Lakkaraju; Nitin Gupta; Vansh Nagpal; Bharath C. Muppasani; Sara E. Jones (CoRR, 2025)

Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making. - Kausik Lakkaraju; Siva Likitha Valluru; Biplav Srivastava (CoRR, 2025)