Designing Human-Centered AI for Collaborative Medical Decision Making

Seminario online Designing Human-Centered AI for Collaborative Medical Decision Making, tenuto dalla dott.ssa Maia Jacobs.

Quando: Lunedì 9 giugno, ore 16.30
Dove: Online al link: https://urly.it/319ahp

Relatore: Maia Jacobs, Northwestern University (USA)

Abstract: AI has the potential to transform medical decision making, yet widespread adoption in clinical settings remains limited. While much of the focus has been on improving algorithmic accuracy, real-world deployments often fail due to challenges in design, usability, and integration. In this talk, I’ll present two projects from my lab that take a user-centered and participatory approach to building clinical decision support systems. By engaging healthcare providers, patients, and caregivers throughout the design process, we aim to design AI tools that are actionable, aligned with the realities of clinical practice, and used to amplify patients’ voices in their own care. I will share key design strategies for building AI systems that actively support shared decision making, ensuring that these tools enhance collaborative care rather than disrupt it.

Bio: Maia Jacobs is an Assistant Professor of Computer Science and Preventive Medicine. Jacobs’ research focuses on using human-computer interaction methods to design and implement intelligent tools in healthcare that promote communication and collaboration and improve health outcomes. Her research has been funded by the Underwriters Laboratories, National Science Foundation, the National Institutes of Health, and the Harvard Data Science Institute. She completed her PhD in Human Centered Computing at Georgia Institute of Technology and was a postdoctoral fellow in the Center for Research on Computation and Society at Harvard University.


Per ulteriori informazioni contattare:

• Prof. Daniele Quercia: daniele.quercia@polito.it