Jacopo
Amidei

In recent years, I have been working as a PhD researcher and Research Fellow in Mathematical Logic and Computational Linguistics. In November 2012 I took on a PhD in Philosophy and Mathematical Logic at the Scuola Normale Superiore (SNS) of Pisa. My main research areas have been Computability Theory and Probability Theory. In 2016 I won an Erasmus+ Mobility Consortium Talent at Work Traineeship Mobility grant, which was used for a traineeship (from March to September) at the AI software solutions company ExB in Leipzig (Germany). My interest in Machine Learning stems from that experience which strongly motivated me to pursue a career in Machine Learning for NLP. Accordingly, I began a PhD in Computational Linguistics at The Open University (UK). For my PhD, I focused on the Reliability of Human Evaluation of Natural Language Generation (NLG) Systems. After my PhD, I won a position, running from Jan. 2021 to Apr. 2023, as a research fellow on the Opening Up Minds: Engaging Dialogue Generated from Argument Maps project. The project, which addressed the problem of fostering open-mindedness in debates, was a collaboration among The Open University, the University of Sheffield, the University of Cambridge and the Cambridge Research Laboratory, Toshiba Europe. Since June 2023, I have been a Postdoctoral Fellow at Universitat Oberta de Catalunya (UOC, Spain), where I joined the Artificial Intelligence and Data for Society (AID4So) group. In my current appointment, my research is dedicated to advancing the ethical, fair, and explainable application of AI by integrating psychological theory with AI, particularly Large Language Models (LLMs). Within this scope, I explore four main areas: computational social science (leveraging LLMs to generate synthetic personas), eLearning (employing personalised LLMs to facilitate collaborative problem-solving), eHealth (utilising LLMs to assist clinicians in assessing patients with pain and patients in pain narration) and Explainable AI (grounding LLMs' behaviour through psychological constructs).