Contact

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.

Highlights

Hidden Influences: How Algorithmic Recommenders Shape Our Lives
Hidden Influences explains how recommender systems shape what we see, believe, and do—and their effects on behaviour, mental health, and society.

Hidden Influences: How Algorithmic Recommenders Shape Our Lives

A book that pulls back the curtain on recommender systems and makes them accessible to everyone.
Hidden Influences explains how recommender systems shape what we see, believe, and do—and their effects on behaviour, mental health, and society.
Writings and Research

Writings and Research

A selection of papers and preprints on how algorithms shape behavior, attention, and well-being.
Speaking

Speaking

A selection of my talks.
Algorithmic amplification of politics on Twitter →
What's in an Algorithm? Empowering users through nutrition labels for recommender systems →
LTI Colloquium: Responsible AI from RecSys to GenAI →
VERA-MH Concept Paper →
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health →
Mental Health, Chatbots, and the Future of Care →

Research, Writing, Talks and News

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Gen AI, Mental Health and Society →

Panel at the International Neuroethics Society
Featured
Talks
Mental Health, Chatbots, and the Future of Care
Talks
Featured

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.”
Research
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
Research

VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health →

VERA-MH is compared to practicing clinicians
Featured
Research
VERA-MH Concept Paper
Research
Featured

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.
Research
What Leaders Need to Know About Auditing AI
Research

What Leaders Need to Know About Auditing AI →

Harvard Business Review
Talks
LTI Colloquium: Responsible AI from RecSys to GenAI
Talks

LTI Colloquium: Responsible AI from RecSys to GenAI →

Language Technologies Institute at Carnegie Mellon (LTI at CMU)
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