Aksel Ersoy, Luciano Cavalcante Siebert, Tong Wang, Paul Chan (2024), Artificial intelligence and post-pandemic recovery, Lauren Andres, John R. Bryson, Aksel Ersoy, Louise Reardon (Eds.), In Pandemic Recovery? p.178-186, Edward Elgar Publishing.

Myrthe L. Tielman, Mari Carmen Suárez-Figueroa, Arne Jönsson, Mark A. Neerincx, Luciano Cavalcante Siebert (2024), Explainable AI for All: A Roadmap for Inclusive XAI for people with Cognitive Disabilities, In Technology in Society Volume 79.

Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah, Andrea Omicini (2024), From large language models to small logic programs: Building global explanations from disagreeing local post-hoc explainers, In Autonomous Agents and Multi-Agent Systems Volume 38.

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), 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 , In Research Handbook on Meaningful Human Control of Artificial Intelligence Systems p.309–346 .

S.K. Kuilman, L. Cavalcante Siebert, S.N.R. Buijsman, C.M. Jonker (2024), How to gain control and influence algorithms: contesting AI to find relevant reasons, In AI and Ethics.

Tian Xia, Alex Ledbetter, Alexandru Bobe, Jeroen Hofland, Berend Krouwels, Tong Wang, Luciano Cavalcante Siebert, Paul Chan, Jian Yang (2024), Interactive AI for Generative Housing Design Based on Graph Neural Networks and Deep Generative Models, Marijana Srećković, Mohamad Kassem, Ranjith Soman, Athanasios Chassiakos (Eds.), In Proceedings of the 2024 European Conference on Computing in Construction p.469-477, European Council on Computing in Construction (EC3).

David Abbink, Daniele Amoroso, L. Cavalcante Siebert, M.J. van den Hoven, Giulio Mecacci, F. Santoni De Sio (2024), Introduction to meaningful human control of artificially intelligent systems, In Research Handbook on Meaningful Human Control of Artificial Intelligence Systems, Edward Elgar Publishing.

C.M. Jonker, L. Cavalcante Siebert, P.K. Murukannaiah (2024), Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems, In Research Handbook on Meaningful Human Control over Artificial Intelligence Systems p.188-204.

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.