Dalia Yousif Ali

Research Associate and Lab Member​
Short Bio: Dalia Yousif Ali is a Doctoral candidate and Research Associate at the TUM School of Technology and Social Science, working within the Professorship of Societal Computing. Her research focuses on exploring the societal impacts of technology and data science, with an emphasis on promoting equity, ethical innovation, and advancing societal well-being. Before joining TUM, Dalia worked as a Research Associate at Harvard Business School’s Digital Value Lab, where she studied the effects of Artificial Intelligence and Digital Transformation on organizational performance and value creation. She is passionate about the intersection of technology, data science, and social development, and is dedicated to using these fields to foster societal progress.

Related Projects

The Civic Machines Lab explores the full lifecycle of artificial intelligence, from the semiconductors powering computation to the algorithms shaping human experience.
Situated within the TUM Think Tank, the lab views AI as a socio-technical system rather than a purely technical challenge.
By integrating perspectives from computer science, social sciences, and public policy, the Civic Machines Lab aims to shape technologies that are democratic, sustainable, and globally inclusive.

Lab

Related News

Noteworthy

A sociotechnical perspective on human preferences

We often assume that AI can be trained to be neutral, ethical, and aligned with human values. However, a growing body of research suggests this goal may be impossible, including new findings from the Civic Machines Lab.
At the Participatory AI Research & Practice Symposium (Sciences Po) at the Paris AI Action Summit, the Civic Machines Lab presented research on a fundamental challenge in AI alignment

18. Jun 2025

Related Events

Discussion

AI readiness across mission-driven organizations

Join us for the launch of a new white paper exploring how mission-driven organizations are navigating the rise of AI. Based on interviews with stakeholders across mission-driven organizations, the paper highlights real-world use cases, key challenges, and future directions for AI adoption in the service of social and environmental goals.

TUM Think Tank
03. Jul 2025