Webinar #4 — Gender and Diversity aspects in Hybrid Collective Intelligence

Taha Yasseri is the Workday Full Professor and Chair of Technology and Society at Trinity College Dublin and Technological University Dublin, where he directs the TCD–TU Dublin Joint Centre for the Sociology of Humans and Machines (SOHAM). He is also an Adjunct Full Professor at the School of Mathematics and Statistics at University College Dublin. Previously, he served as Professor and Deputy Head of the School of Sociology at University College Dublin and was a Geary Fellow at the Geary Institute for Public Policy. Before moving to Ireland, he was Senior Research Fellow in Computational Social Science at the University of Oxford, a Turing Fellow at the Alan Turing Institute for Data Science and Artificial Intelligence, and a Research Fellow in Humanities and Social Sciences at Wolfson College, Oxford. He holds a PhD in Complex Systems Physics from the University of Göttingen, Germany.

Roberta Calegari is a researcher and professor at the Department of Computer Science and Engineering and at the Alma Mater Research Institute for Human-Centered Artificial Intelligence (Alma-AI) at the University of Bologna. Her research focuses on trustworthy AI systems, with particular attention to fairness, explainability, distributed intelligent systems, software engineering, multi-paradigm programming languages, and the intersection of AI and law.
She is the coordinator of the Horizon Europe 2020 project AEQUITAS (Grant Agreement No. 101070363), which addresses the assessment and engineering of equitable, unbiased, impartial, and trustworthy AI systems. The project provides an experimental playground for evaluating and mitigating bias in AI technologies. Professor Calegari also contributed to the EU Horizon 2020 project PrePAI (Grant Agreement No. 101083674), where she works on defining requirements and mechanisms to ensure that resources published on the future AI-on-Demand platform are labeled as trustworthy and comply with forthcoming AI regulations.
Her research interests lie in the broad area of knowledge representation and reasoning, with a specific focus on symbolic AI, including computational logic, logic programming, argumentation theory, logic-based multi-agent systems, and non-monotonic/defeasible reasoning. She serves on the Editorial Board of ACM Computing Surveys in the area of Artificial Intelligence and on the JAIR Social Aspects of AI track. She has authored more than 90 peer-reviewed publications in international journals and conferences. She is actively involved in leading multiple European, national, and regional research projects, and manages several academic-industry collaborations.

E.M. Lewis-Jong is the Founder and VP of Mozilla Data Collective—the community-led data platform for the ethical creation, curation, and control of AI training datasets. They are also the Director at Common Voice, the world’s largest open crowdsourced speech corpus, spanning 300+ languages and 750,000 open community contributors. EM has run AI community data programmes for the US National Science Foundation, NVIDIA, Gates Foundation, and GIZ. Before Mozilla, EM was a founding executive in CivTech: leading, launching and growing product from concept stage to venture-backed Series A. They are Sutton Trust Oxbridge Access Summer Schools Alumna, a Rising Star of Tech Awardee and a SheCodes Alumna. They sit on several multilingual AI advisory boards, including as NLP TAP Advisor for Google-backed Lacuna Fund, Industry Board Advisor for Speech Technologies at the University of Groningen and Data Advisor for the Caribbean Parliaments’ digitisation project. They studied at the University of Oxford, and are—in their spare time—a Doctoral researcher in AI Informatics, focussed on children, data and Intelligent Personal Assistants.