Enhancing Human-AI Collaboration through Adaptive Interaction and Explainability

Abstract

AI is rapidly evolving, and human-AI collaboration is becoming more prevalent. Developing robust, adaptive, and transparent models is key to improving human-AI collaboration. My research explores the intersection of AI explainability and adaptive interaction to enhance collaborative decision-making. Building on my previous work in AI explainability, adversarial robustness, and adaptive algorithms, I aim to develop adaptive interaction mechanisms that are resilient to adversarial attacks and intuitively understandable to human collaborators.