Aimen Gaba

Human-Centered AI • Fairness & Bias • Data Visualization

Conference Papers

A Gender Diverse Perspective of Bias in Large Language Models
Aimen Gaba, Emily Wall, Os Keyes, Kyle Hall, Yuriy Brun, and Cindy Xiong Bearfield
ACM FAccT 2026
The Default Speaker: Why Neutral Conversational AI is a Myth Worth Retiring
Aimen Gaba
ACM CUI 2026 Provocations Track
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]
Among Peers: Blind-Led Design, Peer Critique, and Reflection in Assistive Technology
Aimen Gaba, Lucas Nadolskis, Patrick Carrington, Dominik Moritz, Cindy Xiong Bearfield, and Frank Elavsky
ACM ASSETS 2026 (Under-Review)

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]
The Myth of the Neutral Prompt: Gender, Power, and Language in Large Language Models
Os Keyes, and Aimen Gaba
Big Data & Society, SAGE (In Preparation)
Tulna: A Chain-of-Thought Approach for Interpreting Natural Language Comparisons in Visual Analytics
Kylie Lin, Aimen Gaba, Cindy Xiong Bearfield, and Vidya Setlur
IEEE TVCG (In Preparation)
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
IEEE TVCG (In Preparation)

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]

Magazine Articles

Frustrated and Hopeful: Blind Users on the State of Assistive Technology
Aimen Gaba, Lucas Nadolskis, and Frank Elavsky
IEEE Computer Graphics & Applications, People in Practice (In Preparation)

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]