Conference workshop, IJCAI 2024 Workshop on Explainable Artificial Intelligence (XAI), virtual
We proposed a methodology for generating global explanations using correspondence techniques. The focus was on delivering human-comprehensible verbal explanations, articulated as part-based expressions, derived from the input image to the Deep Neural Network classifier.
Talk, The PPI Center Spring 2023 Industry Advisory Board Meeting, University of Colorado
This poster presentation served as a platform for me to articulate our research concepts and advancements in the field of Explainable Artificial Intelligence to industry professionals. Subsequently, I elaborated on the discriminative global explanations and the methodology we are employing to generate such explanations, along with their potential benefits to the industry.
Talk, PHL-546 Ethic in AI Course project, Oregon State University
This poster was produced in a group efforts for understanding and evaluating learning from our coursework in Ethics in AI class.
Talk, The PPI Center Fall 2022 Industry Advisory Board Meeting, Tigard, Oregon
The objective of this poster presentation was to articulate our research endeavors in the realm of Explainable Artificial Intelligence to industry professionals, and to illustrate potential applications thereof. The central premise was to underscore the importance of generating human-comprehensible and interpretable explanations through sub-symbolic representations of images, such as components of an object within an image, which serve as inputs to a Deep Neural Network (DNN) model.