L. (Luciano) Cavalcante Siebert
L. (Luciano) Cavalcante Siebert
Profile
Research
Siebert’s research interests are mainly focused on the interaction of humans as a society and technology. As a postdoctoral researcher at the AiTech initiative, his research deals with the incorporation of contextual aspects such as ethical norms, cognition biases, and meta-reasoning into autonomous systems, using a combination of human-like reasoning and machine learning techniques. The main goal is to support the development of autonomous systems that act under Meaningful Human Control.
Biography
Luciano Cavalcante Siebert is a postdoctoral researcher at the AiTech initiative of the Delft University of Technology. Siebert studied Mechatronics at PUCPR (B.Sc.) and did his M.Sc. and Ph.D. studies at the Federal University (UFPR), Brazil. During the development of his Ph.D. in electrical engineering, which focused on consumer behavior modeling using insights from behavioral economics, he also acted as a guest researcher at the Eindhoven University of Technology (TU/e). He has 8 years of experience in research on robotics, machine learning, optimization and automation for smart power grids. Siebert is located at the Interactive Intelligence Group of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Expertise
Publications
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2024
Artificial intelligence and post-pandemic recovery
Aksel Ersoy / Luciano Cavalcante Siebert / Tong Wang / Paul Chan
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2024
Explainable AI for All
A Roadmap for Inclusive XAI for people with Cognitive Disabilities
Myrthe L. Tielman / Mari Carmen Suárez-Figueroa / Arne Jönsson / Mark A. Neerincx / Luciano Cavalcante Siebert -
2024
From large language models to small logic programs
Building global explanations from disagreeing local post-hoc explainers
Andrea Agiollo / Luciano Cavalcante Siebert / Pradeep K. Murukannaiah / Andrea Omicini -
2024
Holistic bow-tie model of meaningful human control over effective systems
Towards a dynamic balance of humans and AI-based systems within our global society and environment
Frank Flemisch / Marcel Baltzer / David Abbink / L. Cavalcante Siebert / Jurriaan van Diggelen / Nicolas Daniel Herzberger / Mark Draper / Michael Boardman / Marie Pierre Pacaux-Lemoine / Joscha Wasser -
2024
How to gain control and influence algorithms: contesting AI to find relevant reasons
S.K. Kuilman / L. Cavalcante Siebert / S.N.R. Buijsman / C.M. Jonker
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Ancillary activities
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2023-03-01 - 2025-03-01