Bhavya Ghai

According to our database, Bhavya Ghai authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias.

Bhavya Ghai, Klaus Mueller

IEEE Trans. Vis. Comput. Graph., 2023

The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing through Interactive Visualization.

Md. Naimul Hoque, Tasfia Mashiat, Bhavya Ghai, Cecilia Shelton, Fanny Chevalier, Kari Kraus, Niklas Elmqvist

CoRR, 2023

Towards Fair and Explainable AI using a Human-Centered AI Approach.

Bhavya Ghai

CoRR, 2023

Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters.

Md. Naimul Hoque, Bhavya Ghai, Kari Kraus, Niklas Elmqvist

Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2022

Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions.

Bhavya Ghai, Mihir Mishra, Klaus Mueller

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writing.

Md. Naimul Hoque, Bhavya Ghai, Niklas Elmqvist

Proceedings of the DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13, 2022

2021

WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings.

Bhavya Ghai, Md. Naimul Hoque, Klaus Mueller

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Fluent: An AI Augmented Writing Tool for People who Stutter.

Bhavya Ghai, Klaus Mueller

Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

2020

Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers.

Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Klaus Mueller

Proc. ACM Hum. Comput. Interact., 2020

Measuring Social Biases of Crowd Workers using Counterfactual Queries.

Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller

CoRR, 2020

Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience.

Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Klaus Mueller

CoRR, 2020

Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation.

Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller

Proceedings of the 1st Workshop on Data Science with Human in the Loop, 2020

Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract).

Bhavya Ghai, Buvana Ramanan, Klaus Mueller

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Does Speech enhancement of publicly available data help build robust Speech Recognition Systems?

Bhavya Ghai, Buvana Ramanan, Klaus Mueller

CoRR, 2019

2017

Using data science as a community advocacy tool to promote equity in urban renewal programs: An analysis of Atlanta's Anti-Displacement Tax Fund.

Jeremy Auerbach, Hayley Barton, Takeria Blunt, Vishwamitra Chaganti, Bhavya Ghai, Amanda Meng, Christopher Blackburn, Ellen W. Zegura, Pamela Flores

CoRR, 2017