Improving Confidence in the Estimation of Values and Norms. - Luciano Cavalcante Siebert; Rijk Mercuur; Virginia Dignum; Jeroen van den Hoven; Catholijn M. Jonker (COIN(E)@AAMAS, 2020)

Allocation of Moral Decision-Making in Human-Agent Teams: A Pattern Approach. - Jasper van der Waa; Jurriaan van Diggelen; Luciano Cavalcante Siebert; Mark A. Neerincx; Catholijn M. Jonker (HCI (7), 2020)

Axies: Identifying and Evaluating Context-Specific Values. - Enrico Liscio; Michiel van der Meer; Luciano Cavalcante Siebert; Catholijn M. Jonker; Niek Mouter; Pradeep K. Murukannaiah (AAMAS, 2021)

Meaningful human control over AI systems: beyond talking the talk. - Luciano Cavalcante Siebert; Maria Luce Lupetti; Evgeni Aizenberg; Niek Beckers; Arkady Zgonnikov; Herman Veluwenkamp; David A. Abbink; Elisa Giaccardi; Geert-Jan Houben; Catholijn M. Jonker; Jeroen van den Hoven; Deborah Forster; et al. (CoRR, 2021)

MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. - Markus Peschl; Arkady Zgonnikov; Frans A. Oliehoek; Luciano Cavalcante Siebert (AAMAS, 2022)

Estimating Value Preferences in a Hybrid Participatory System. - Luciano Cavalcante Siebert; Enrico Liscio; Pradeep K. Murukannaiah; Lionel Kaptein; Shannon Spruit; Jeroen van den Hoven; Catholijn M. Jonker (HHAI, 2022)

What values should an agent align with? - Enrico Liscio; Michiel van der Meer; Luciano Cavalcante Siebert; Catholijn M. Jonker; Pradeep K. Murukannaiah (Auton. Agents Multi Agent Syst., 2022)

Steering Stories: Confronting Narratives of Driving Automation through Contestational Artifacts. - Maria Luce Lupetti; Luciano Cavalcante Siebert; David A. Abbink (CHI, 2023)

Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions. - Ashwin George; Luciano Cavalcante Siebert; David A. Abbink; Arkady Zgonnikov (ECAI, 2023)

The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing. - Andrea Agiollo; Luciano Cavalcante Siebert; Pradeep Kumar Murukannaiah; Andrea Omicini (EXTRAAMAS, 2023)

MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response. - Jasper van Tilburg; Luciano Cavalcante Siebert; Jochen L. Cremer (CoRR, 2023)

Measuring Causal Responsibility in Multi-Agent Spatial Interactions with Feasible Action-Space Reduction. - Ashwin George; Luciano Cavalcante Siebert; David A. Abbink; Arkady Zgonnikov (CoRR, 2023)

Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems. - Catholijn M. Jonker; Luciano Cavalcante Siebert; Pradeep K. Murukannaiah (CoRR, 2023)

Meaningful human control: actionable properties for AI system development. - Luciano Cavalcante Siebert; Maria Luce Lupetti; Evgeni Aizenberg; Niek Beckers; Arkady Zgonnikov; Herman Veluwenkamp; David A. Abbink; Elisa Giaccardi; Geert-Jan Houben; Catholijn M. Jonker; Jeroen van den Hoven; Deborah Forster; et al. (AI Ethics, 2023)

Explaining Learned Reward Functions with Counterfactual Trajectories. - Jan Wehner; Frans A. Oliehoek; Luciano Cavalcante Siebert (AIEB@ECAI, 2024)

Leveraging Large Language Models to Identify the Values Behind Arguments. - Rithik Appachi Senthilkumar; Amir Homayounirad; Luciano Cavalcante Siebert (VALE, 2024)

ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration. - Angelo Caregnato-Neto; Luciano Cavalcante Siebert; Arkady Zgonnikov; Marcos Ricardo Omena de Albuquerque Máximo; Rubens Junqueira Magalhães Afonso (CoRR, 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 (Auton. Agents Multi Agent Syst., 2024)

Dramatic Things: Investigating Value Conflicts in Smart Home through Enactment and Co-speculation. - Nazli Cila; Maria Luce Lupetti; Luciano Cavalcante Siebert; Janna van Grunsven (CHI, 2025)

Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems. - Enrico Liscio; Luciano Cavalcante Siebert; Catholijn M. Jonker; Pradeep K. Murukannaiah (J. Artif. Intell. Res., 2025)

How to gain control and influence algorithms: contesting AI to find relevant reasons. - Sietze Kai Kuilman; Luciano Cavalcante Siebert; Stefan Buijsman; Catholijn M. Jonker (AI Ethics, 2025)

Feasible Action Space Reduction for Quantifying Causal Responsibility in Continuous Spatial Interactions. - Ashwin George; Luciano Cavalcante Siebert; David A. Abbink; Arkady Zgonnikov (CoRR, 2025)