Giulio Mecacci, Daniele Amoroso, Luciano Cavalcante Siebert, D.A. Abbink, M.J. van den Hoven, F. Santoni De Sio (Eds.) (2024), Research Handbook on Meaningful Human Control of Artificial Intelligence Systems, Edward Elgar Publishing.

Ashwin George, Luciano Cavalcante Siebert, David Abbink, Arkady Zgonnikov (2023), Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu (Eds.), In ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings p.819-826, IOS Press.

Jasper van Tilburg, Luciano C. Siebert, Jochen L. Cremer (2023), MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-Based Residential Demand Response, In Proceedings of the 2023 IEEE Belgrade PowerTech p.1-8, IEEE.

Sietze Kai Kuilman, Koji Andriamahery, Catholijn M. Jonker, Luciano Cavalcante Siebert (2023), Normative uncertainty and societal preferences: The problem with evaluative standards, In Frontiers in Neuroergonomics Volume 4.

Maria Luce Lupetti, Luciano Cavalcante Siebert, David Abbink (2023), Steering Stories: Confronting Narratives of Driving Automation through Contestational Artifacts, In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, ACM.

Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini (2023), The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing, Davide Calvaresi, Amro Najjar, Andrea Omicini, Rachele Carli, Giovanni Ciatto, Reyhan Aydogan, Yazan Mualla, Kary Främling (Eds.), In Explainable and Transparent AI and Multi-Agent Systems - 5th International Workshop, EXTRAAMAS 2023, Revised Selected Papers p.97-115, Springer.

Niek Beckers, Luciano Cavalcante Siebert, Merijn Bruijnes, Catholijn Jonker, David Abbink (2022), Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid, In Scientific Reports Volume 12.

Luciano C. Siebert, Enrico Liscio, Pradeep K. Murukannaiah, Lionel Kaptein, Shannon Spruit, Jeroen Van Den Hoven, Catholijn Jonker (2022), Estimating Value Preferences in a Hybrid Participatory System, Stefan Schlobach, Maria Perez-Ortiz, Myrthe Tielman (Eds.), In HHAI2022 p.114-127, IOS Press.

M. Peschl, A. Zgonnikov, F.A. Oliehoek, L. Cavalcante Siebert (2022), MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning, Catherine Pelachaud, Matthew E. Taylor (Eds.), In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS '22) p.1038-1046, International Foundation for Autonomous Agents and Multiagent Systems.

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 (2022), Meaningful human control: actionable properties for AI system development, In AI and Ethics.