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Meet the team

The people driving AI Safety for Italy forward.

Valeriia Povergo

Organizing Team β€” Operations & Governance

Valeriia is part of the organizing group of AI Safety for Italy, contributing to the coordination and development of the initiative across governance, finance, communications, and operational support. Her background is primarily in operations, project coordination, stakeholder relationship development, and fundraising across international initiatives and campaigns. She has experience supporting organizational processes, cross-functional coordination, and the development of operational infrastructure. Her recent involvement in AI safety includes participation in initiatives such as AI Safety Camp, Apart Research, and the Corda Democracy Fellowship.

Contribution areas

Governance & Finance General Operations & Coordination Communications & Social Media

Interests

AI Policy and Governance AI Forecasting and Strategy AI-generated content regulation
Carola Caivano

Carola Caivano

Organizing Team β€” Communications & Community

Carola is part of the organizing group of AI Safety for Italy, contributing to the development of the initiative across external communications, community strategy, and networking. Her background is in physics and she currently works as a data scientist. Her involvement in AI safety includes participating in the ML4Good bootcamp and graduating from BlueDot Impact’s AI Alignment course.

Contribution areas

Communications & Social Media Community

Interests

AI Strategy Technical safety AI governance
Elisabetta Rocchetti

Elisabetta Rocchetti

Co-founding Collaborator β€” PhD Candidate

Elisabetta is a co-founding collaborator of AI Safety for Italy and a PhD candidate in Computer Science at UniversitΓ  degli Studi di Milano, where her research focuses on mechanistic interpretability. Her work spans refusal behaviour, instruction-following mechanisms, training dynamics, and the encoding of aesthetic concepts, using methods such as activation patching, steering, probing, and complex network modeling.

Contribution areas

General Operations & Coordination Community building Mentorship Governance & Finance

Interests

Mechanistic interpretability Technical AI safety AI alignment
Cristian Curaba

Cristian Curaba

Technical Infrastructure & Didactics

Cristian holds a Master’s degree in Data Science and Scientific Computing and a Bachelor’s in Mathematics, providing him with a rigorous analytical and problem-solving foundation. He actively participated in the Apart Fellowship, ML4Good France, and various related courses. His involvement extends to local community building, where he currently leads an AGI Safety Discussion Group at the University of Udine to engage researchers and students in critical AI safety topics.

Contribution areas

Website & Technical Infrastructure Didactics

Interests

Autoformalization Formal Monitoring

Francesco Ortu

Co-founder β€” PhD Student

Francesco is a co-founder of AI Safety for Italy and a PhD student at the University of Trieste and Area Science Park. His research focuses on the mechanistic interpretability of LLMs and VLMs. As part of his PhD, he visited the AI Safety and Alignment group at the ELLIS Institute in TΓΌbingen.

Contribution areas

General Operations & Coordination Mentorship

Interests

Mechanistic interpretability Societal implication of AI

Luca Scionis

PhD Student

Luca Scionis is a PhD student in the Italian National AI PhD Programme, affiliated with the University of Cagliari (sAIferLab). He is currently an ELLIS intern working on the AI safety of AI agents. His research spans adversarial machine learning, with a focus on the robustness of computer vision models, and AI safety, particularly the security of LLM-based agents and assistants.

Contribution areas

Community Events Mentorship

Interests

Technical AI safety Adversarial machine learning Robustness of ML models Security of LLM-based agents and assistants

Community Members

Last updated: 2026-06-30

Name Location Areas of Interest
A
Angelo Leone
Londra, Regno Unito Evaluation (capability evaluations, dangerous capability evals, benchmarking), Alignment (RLHF, scalable oversight, value alignment), AI governance e policy, Etica dell'AI e impatto sociale
L
Luca Mattiazzi
Milano, Italia Interpretability (mechanistic interpretability, analisi delle rappresentazioni, ecc.), Evaluation (capability evaluations, dangerous capability evals, benchmarking), Alignment (RLHF, scalable oversight, value alignment), Sicurezza informatica per modelli di frontiera
C
Cristian Curaba
Udine, Italia Monitoraggio attraverso metodi formali
M
Madhusudhan Pathak
Padova, Italy Alignment (RLHF, scalable oversight, value alignment), Etica dell'AI e impatto sociale
L
Lorenzo Pacchiardi
Cambridge, United Kingdom Evaluation (capability evaluations, dangerous capability evals, benchmarking), Alignment (RLHF, scalable oversight, value alignment), AI governance e policy, Rischi catastrofici / esistenziali
R
Raffaele Mura
Cagliari, Italia Interpretability (mechanistic interpretability, analisi delle rappresentazioni, ecc.), Robustness e adversarial ML, AI governance e policy, Sicurezza informatica per modelli di frontiera
Neustadt (Weinstr.), Germania Rischi catastrofici / esistenziali, AI safety communications
Cagliari, Italia Evaluation (capability evaluations, dangerous capability evals, benchmarking), Robustness e adversarial ML
Bologna, Italia Evaluation (capability evaluations, dangerous capability evals, benchmarking), Alignment (RLHF, scalable oversight, value alignment), Robustness e adversarial ML, Rischi catastrofici / esistenziali
C
Carola Maria Caivano
Torino, Italia Interpretability (mechanistic interpretability, analisi delle rappresentazioni, ecc.), Evaluation (capability evaluations, dangerous capability evals, benchmarking), AI governance e policy, Etica dell'AI e impatto sociale
B
Battista Biggio
Cagliari, Italia Interpretability (mechanistic interpretability, analisi delle rappresentazioni, ecc.), Robustness e adversarial ML

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