This initiative was born out of the idea of shaping Artificial Intelligent technology around human and societal needs. We believe that technology should respect the anthropocentric principle. It should be at the service of people, not vice-versa. In order to foster this idea, we need to narrow the gap between civil society and technical experts. This gap is one in knowledge, in action and in tools for change.
Our mission is to learn, pose questions and take initiative on how Artificial Intelligent technology can be used for the social good. Our strategy is to conduct impact analysis, projects and democratic policies that act at the crossing of Artificial Intelligence and society.
We are a diverse team of motivated individuals that is dedicated to bring AI Policy to the people, in order to create positive change in society with technology, through and for the public.
Marta Ziosi is an AI Policy enthusiast. She graduated in Public Policy and Philosophy at the London School of Economics with a thesis on ‘Epistemic Injustice in DataMining’. She holds a Bachelor of Science in Mathematics and Philosophy from University College Maastricht and she was an exchange student at UC Berkeley. She is particularly interested in the topic of Algorithmic fairness and on how to tackle injustices in the technological era.
Vincenzo Lomonacois a Postdoctoral Researcher at the University of Bologna, Italy and President of ContinualAI. Currently, he is also a research affiliate at AI Labs. Vincenzo obtained his PhD at UniBo with a dissertation titled “Continual Learning with Deep Architectures“. He has been a visiting scholar at Purdue University, USA in 2017 and at the ENSTA ParisTech Grande École, France in 2018. His main research interests include continual learning with deep architectures, multi-task learning, knowledge distillation and transfer, their applications to embedded systems, robotics and internet-of-things, open science and ethical AI developments.
Angelo Trotta received his Ph.D. degree in Computer Science and Engineering from the University of Bologna, Italy. In 2013 he was a Research Student for the Italian PRIN 2009 project “STEM-Net” working on the study, modeling and simulation of cognitive radio technologies and self-organizing wireless networks. He has been a visiting researcher at the Heudiasyc Laboratory, Sorbonne Universités, UTC, Compiègne, France in 2016 and at the Genesys-Lab, Northeastern University, Boston, MA, USA in 2018. Currently, he is a post-doc Research Fellow at the Department of Computer Science and Engineering, University of Bologna, Italy, working on reinforcement learning and nature-inspired algorithms for self-organizing multi-robots wireless systems.
Head of AI Research
Gabriele Graffieti is a PhD student in Data Science and Computation at the University of Bologna. His main interests are generative models, continual learning and bio-inspired learning models. In particular, he investigate the role of data generation ability during learning and the correlation between memory and the capacity to generate and think of new data. He is also fascinated by artificial creativity and computer generated art.
Moreover, he is interested in the philosophy and ethics of artificial intelligence, especially in frameworks that aims to counteract its future risks and problems.
Head of AI Policy
Matteo Fabbri is a Philosophy student at University of Bologna. His interests lie in the intersection between artificial intelligence and political theory. In particular, he aims at understanding how computational social science could help the improvement of public policy formulation. He has recently started studying the ethical formalization of autonomous vehicles and the newly emerging conceptual paradigms of algorithmic fairness. Moreover, he is deeply concerned about the application of meritocracy in the Italian public sector, particularly in the educational field.
Head of AI Applications
Philipp Wicke is a researcher at the University College Dublin. Currently, he is pursuing a PhD in Artificial Intelligence in the Creative Language Systems Group. His background in Cognitive Science fuels his research interest in Computational Creativity, Embodied Cognition and Artificial Intelligence. Moreover, he is interested in explainable AI that can be utilized for the societal good. In the AI for People association, he is writing blog articles and practical research contributions. More at www.phil-wicke.com
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