Hidden Influence: How Algorithmic Recommenders Shape Our Lives
Examines how recommender systems influence behavior, mental health, and well-being.
I’m Luca Belli, Ph.D. I study the impact of technology on society.
Data scientist with a policy twist. My research focuses on recommendation systems and the role of AI in mental health, using a socio-technical approach to understand how the design of tools and platforms shape people’s lives. I bring evidence-based analysis into policy conversations to promote technology that serves the public good.
Research, Writing, Talks and News
LTI Colloquium: Responsible AI from RecSys to GenAI
Language Technologies Institute at Carnegie Mellon (LTI at CMU)
What's in an Algorithm? Empowering users through nutrition labels for recommender systems
Knight Institute Symposium on “Optimizing for What? Algorithmic Amplification and Society”
Randomization, Neutrality, and Fairness
Panel at Simons Laufer Mathermatic Sciences Institute
The NIST AI Risk Management Framework
Berkeley AI Law Institute
Model Collapse and Bias in AI
SES Standards and Innovation Forum 2023.
Keynote talk at Evaluating RecSys 2023
EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a multitude of deployment scenarios.
Responsible AI in Practice: Lessons from Experience at Scale
European Center for Algorithmic Transparency / Joint Research Centre
Navigating the Cyber Minefields
Participation in "Navigating the Cyber Minefields" panel at Bioneers 2023 conference with Cindy Cohn and Randima Fernando, moderated by Kellen Klein.