My research lies at the intersection of Human-Computer Interaction (HCI), Intelligent User Interface (IUI), and Artificial Intelligence (AI). My work seeks to develop fair, trustworthy, transparent AI using the data-driven and human-centered computing (HCC) approaches, particularly for recommender systems, healthcare systems, and social media. I adopt mixed, quantitative, and qualitative approaches to understand users’ interaction and experience with AI-driven systems and explore design solutions for building trustworthy services and improving human-AI interaction. I am specifically interested in designing solutions for empowering non-expert users and marginalized groups. My research could broadly be defined as twofold: first, I aim to generate empirical, conceptual, and theoretical insights into how AI-driven systems users engage in information retrieval, seeking, and personal decision-making; second, my work offers practical recommendations for designing a better controllable and explainable AI (XAI) mechanism to support and empower individuals’ interactions with the AI systems.