Luciano Cavalcante Siebert

According to our database, Luciano Cavalcante Siebert authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Feasible Action Space Reduction for Quantifying Causal Responsibility in Continuous Spatial Interactions.

Ashwin George, Luciano Cavalcante Siebert, David A. Abbink, Arkady Zgonnikov

CoRR, May, 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, April, 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

Dramatic Things: Investigating Value Conflicts in Smart Home through Enactment and Co-speculation.

Nazli Cila, Maria Luce Lupetti, Luciano Cavalcante Siebert, Janna van Grunsven

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

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., December, 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

Leveraging Large Language Models to Identify the Values Behind Arguments.

Rithik Appachi Senthilkumar, Amir Homayounirad, Luciano Cavalcante Siebert

Proceedings of the Value Engineering in Artificial Intelligence, 2024

Explaining Learned Reward Functions with Counterfactual Trajectories.

Jan Wehner, Frans A. Oliehoek, Luciano Cavalcante Siebert

Proceedings of the First Workshop on Implementing AI Ethics through a Behavioural Lens (AIEB 2024) co-located with 26th European Conference on Artificial Intelligence (ECAI 2024), 2024

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, Reginald L. Lagendijk

AI Ethics, February, 2023

Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems.

Catholijn M. Jonker, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah

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

MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response.

Jasper van Tilburg, Luciano Cavalcante Siebert, Jochen L. Cremer

CoRR, 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

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 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

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Steering Stories: Confronting Narratives of Driving Automation through Contestational Artifacts.

Maria Luce Lupetti, Luciano Cavalcante Siebert, David A. Abbink

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

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

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

Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning.

Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

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, Reginald L. Lagendijk

CoRR, 2021

Axies: Identifying and Evaluating Context-Specific Values.

Enrico Liscio, Michiel van der Meer, Luciano Cavalcante Siebert, Catholijn M. Jonker, Niek Mouter, Pradeep K. Murukannaiah

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

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

Proceedings of the Engineering Psychology and Cognitive Ergonomics. Cognition and Design, 2020

Improving Confidence in the Estimation of Values and Norms.

Luciano Cavalcante Siebert, Rijk Mercuur, Virginia Dignum, Jeroen van den Hoven, Catholijn M. Jonker

Proceedings of the Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII, 2020