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Thiago
Thiago
 
Freitas Dos Santos
Freitas Dos Santos

PhD Student
PhD Student


Thiago
Thiago
 
Freitas Dos Santos
Freitas Dos Santos
PhD Student
PhD Student

Multiagent Systems
Multiagent Systems
(+34) 93 580 9570 ext.
201
201
thiago@iiia.csic.es
thiago@iiia.csic.es
Research areas:
  • Ethics & AI
  • Multiagent Systems
  • Normative Systems
  • Responsible AI
  • Trust and Reputation
  • XAI
  • Machine Learning
  • Learning
  • Ethics & AI
  • Multiagent Systems
  • Normative Systems
  • Responsible AI
  • Trust and Reputation
  • XAI
  • Machine Learning
  • Learning
Impact areas:
  • Ethics
  • Social Networking
  • Industry
  • Ethics
  • Social Networking
  • Industry
SDGs:
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 10: Reduced Inequality
  • GOAL 16: Peace, Justice and Strong Institutions
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 10: Reduced Inequality
  • GOAL 16: Peace, Justice and Strong Institutions
2024
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2024). Can Interpretability Layouts Influence Human Perception of Offensive Sentences?. Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, & Kary Främling (Eds.), Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024, Revised Selected Papers (pp. 39--57). Springer. https://doi.org/10.1007/978-3-031-70074-3_3. [BibTeX]
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2024). Is This a Violation? Learning and Understanding Norm Violations in Online Communities. Artificial Intelligence, 327. https://doi.org/10.1016/j.artint.2023.104058. [BibTeX]
2023
Thiago Freitas Santos,  Nardine Osman,  & Marco Schorlemmer (2023). A multi-scenario approach to continuously learn and understand norm violations. Autonomous Agents and Multi-Agent Systems, 37, 38. https://doi.org/10.1007/s10458-023-09619-4. [BibTeX]
Thiago Freitas Santos,  Stephen Cranefield,  Bastin Tony Roy Savarimuthu,  Nardine Osman,  & Marco Schorlemmer (2023). Cross-community Adapter Learning {(CAL)}to Understand the Evolving Meanings of Norm Violation. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, {IJCAI}2023, 19th-25th August 2023, Macao, SAR, China (pp. 109--117). ijcai.org. https://doi.org/10.24963/IJCAI.2023/13. [BibTeX]
2022
Thiago Freitas Dos Santos,  Nardine Osman,  & Marco Schorlemmer (2022). Ensemble and Incremental Learning for Norm Violation Detection. Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, & Matthew E. Taylor (Eds.), 21st International Conference on Autonomous Agents and Multiagent Systems, {AAMAS}2022, Auckland, New Zealand, May 9-13, 2022 (pp. 427--435). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). https://doi.org/10.5555/3535850.3535899. [BibTeX]
2021
Thiago Freitas Dos Santos,  Nardine Osman,  & Marco Schorlemmer (2021). Learning for Detecting Norm Violation in Online Communities. International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE), co-located with AAMAS 2021 . https://arxiv.org/abs/2104.14911. [BibTeX]