AiTech Agora: Alessandro Bozzon - Designing and Engineering for Meaningful Human Control: reflections of a new team member
25 mei 2022 12:30 t/m 14:00 | Zet in mijn agenda
The concept of meaningful human control is increasingly central in discussions around responsible AI, trustworthy AI, and other desirable properties of AI systems. As someone with more than a decade of research at the intersection of artificial intelligence (broadly defined), human-computer interaction, and data science, I found the discussions around "meaningful human control" developed in the context of the AI Tech institute (and beyond) profound, informative, and inspiring. Still, I consider myself a novice in "meaningful human control", and I wonder: how does my work relate to it? In this talk, I will share some of my reflections on that question and use it as an opportunity to engage in discussions with the attendees. To this end, I will elaborate on the relationship between some of my recent public and the recently published paper "Meaningful Human Control over AI Systems: Beyond Talking the Talk", highlighting challenges and open research opportunities.
Alessandro is a Professor of Human-Centered Artificial Intelligence in the Faculty of Industrial Design Engineering (IDE). He is co-leader of the Knowledge and Intelligence Design (KInD) group, in the Department of Sustainable Design Engineering, for which he is also serving as department head. Alessandro is director of the Future Libraries Lab, a collaboration with the Royal Library of The Netherlands; Principal Investigator in Urban Data and Intelligence at the Amsterdam Institute for Advanced Metropolitan Solutions; and core team member of the AI Tech institute. His research lies at the intersection of human-computer interaction, human computation, user modelling, and machine learning. I am interested in developing methods and tools that support the design, development, control, and operation of AI-enabled systems that are well-situated around actual human characteristics, values, intentions, and behaviours. By investigating the relationship between the science and practice of design, and the digital technology that fuels intelligent products, services, and systems, Alessandro and his team study and build novel Human-Centred Artificial Intelligence methods and tools that combine the cognitive and reasoning abilities of (groups of) individuals, with the computational powers of machines, and insights from large amount of heterogeneous data.
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