Zana Buscina

Date: November 10th, 2025

Time: 16:00 (CET)

Title:  Worker-Centric AI

Abstract: The anticipated large-scale deployment of AI systems in knowledge work will impact not only productivity and work quality but also workers' values and workplace dynamics. I argue that how we design and deploy AI-infused technologies will shape people's skills and competence, their sense of agency, collaboration with others, and even the meaning they derive from their work. I design human-AI interaction techniques that complement people and amplify their values in AI-assisted work. My research focuses on (1) understanding how people make AI-assisted decisions and (2) designing novel interaction paradigms, explanations and systems that optimize human-centric outcomes (e.g., human skills) and output-centric outcomes (e.g., decision accuracy) in AI-assisted tasks. In this talk, I will present a suite of interaction techniques I have introduced to optimize AI-assisted decision-making. These include cognitive forcing interventions that reduce overreliance on AI, adaptive AI support that enables human-AI complementarity in decision accuracy, and contrastive explanations that improve both decision accuracy and users’ task-related skills.

About the Presenter