Hidden Influences: How Algorithmic Recommenders Shape Our Lives
A book that pulls back the curtain on recommender systems and makes them accessible to everyone.
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
Digital Mindfulness: Navigating Stress in a Hyper-Connected World
Panel at the the HealthFuture Summit by CTA
Gen AI, Mental Health and Society
Panel at the International Neuroethics Society
Mental Health, Chatbots, and the Future of Care
“We have an opinion on what we think a current best practice might be, but we also acknowledge that because of this technology…usage is evolving so fast, the evaluation has to evolve with them.”
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
VERA-MH is compared to practicing clinicians
VERA-MH Concept Paper
Introducing Validation of Ethical and Responsible AI in Mental Health, a new clinically-grounded open-source tool evaluation of safety of chatbots.
What Leaders Need to Know About Auditing AI
Harvard Business Review
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”
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