no code implementations • 13 Oct 2021 • Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jurgen P. Schulze, Yi Yao, Giedrius T. Burachas
In the domain of Visual Question Answering (VQA), studies have shown improvement in users' mental model of the VQA system when they are exposed to examples of how these systems answer certain Image-Question (IQ) pairs.
no code implementations • 2 Jul 2020 • Kamran Alipour, Arijit Ray, Xiao Lin, Jurgen P. Schulze, Yi Yao, Giedrius T. Burachas
In this paper, we evaluate the impact of explanations on the user's mental model of AI agent competency within the task of visual question answering (VQA).
no code implementations • 19 Apr 2020 • Ali Hariri, Kamran Alipour, Yash Mantri, Jurgen P. Schulze, Jesse V. Jokerst
We suggest that this tool can improve the value of such sources in photoacoustic imaging.
no code implementations • 1 Mar 2020 • Kamran Alipour, Jurgen P. Schulze, Yi Yao, Avi Ziskind, Giedrius Burachas
Explainability and interpretability of AI models is an essential factor affecting the safety of AI.