
L. (Luciano) Cavalcante Siebert
L. (Luciano) Cavalcante Siebert
Profile
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.
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.
Expertise
Publications
-
2023
Steering Stories
Confronting Narratives of Driving Automation through Contestational Artifacts
Maria Luce Lupetti / Luciano Cavalcante Siebert / David Abbink -
2022
Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid
Niek Beckers / Luciano Cavalcante Siebert / Merijn Bruijnes / Catholijn Jonker / David Abbink
-
2022
Estimating Value Preferences in a Hybrid Participatory System
Luciano C. Siebert / Enrico Liscio / Pradeep K. Murukannaiah / Lionel Kaptein / Shannon Spruit / Jeroen Van Den Hoven / Catholijn Jonker
-
2022
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning
M. Peschl / A. Zgonnikov / F.A. Oliehoek / L. Cavalcante Siebert
-
2022
Meaningful human control: actionable properties for AI system development
L. Cavalcante Siebert / M.L. Lupetti / E. Aizenberg / N.W.M. Beckers / A. Zgonnikov / H.M. Veluwenkamp / D.A. Abbink / Elisa Giaccardi / G.J.P.M. Houben / C.M. Jonker / M.J. van den Hoven / D. Forster / R.L. Lagendijk
-