Aimen Gaba

Human-Centered AI • Fairness & Bias • Data Visualization

Conference Papers

My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
Aimen Gaba, Zhanna Kaufman, Jason Cheung, Marie Shvakel, Kyle Hall, Yuriy Brun, and Cindy Xiong Bearfield
IEEE VIS 2023
[Paper]
Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design
Aimen Gaba, Vidya Setlur, Arjun Srinivasan, Jane Hoffswell, and Cindy Xiong
IEEE VIS 2022
[Paper]
A Gender Diverse Perspective of Bias in Large Language Models
Aimen Gaba, Emily Wall, Os Keyes, Kyle Hall, Yuriy Brun, and Cindy Xiong Bearfield
Under Review (ACM FAcct'26)
Beyond "Disability-Centered:" Empowering Blind-Led Innovation of Assistive Technology
Aimen Gaba, Frank Elavsky, Lucas Nadolskis, Patrick Carrington, Dominik Moritz, and Cindy Xiong Bearfield
In Preparation (ASSETS'26)

Journal Articles

Reasoning Affordances with Tables and Bar Charts
Cindy Xiong, Elsie Lee Robbins, Icy Zhang, Aimen Gaba, and Steven Franconeri
IEEE TVCG 2023
[Paper]
Capturing the Gist: How Data Approximation Algorithms Align with Human Perception in Time-Series Visualizations
Yishu Ji, Aimen Gaba, Reid Laughton, Duen Horng (Polo) Chau, and Cindy Xiong Bearfield
Under Review (IEEE TVCG'26)

Workshop Papers

How Do We Measure Trust in Visual Data Communication?
Hamza Elhamdadi, Aimen Gaba, Yea-Seul Kim, and Cindy Xiong
IEEE BELIV 2022
[Paper]

Preprints

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models
Aimen Gaba, Emily Wall, Tejas Ramkumar Babu, Kyle Hall, Yuriy Brun, and Cindy Xiong Bearfield
arXiv preprint 2025
[arXiv]

Posters & Presentations

Advancing Responsible & Trustworthy AI Through Human-Centered Research
Aimen Gaba
MIT EECS Rising Stars Workshop 2025
[Poster]