Profile
Charles is broadly interested in how humans make decisions against a certain causal structure or representation of the world. Recently, the adoption of statistical learning algorithms has introduced a novel causal context for studying the human learning-cum-decision-making process. Charles' research explores how statistical learning algorithms interact with human agency, human causal reasoning, organizational information-processing, and organizational decision-making.
Previously Charles worked as a commodities trader in Europe, the US, and Asia.
For more information please visit https://wan-charles.github.io/.
Publications
Conference proceeding (4)
Academic (4)
-
Wan, C., Belo, R., Zejnilović, L., & Lavado, S. (2023). The Duet of Representations and How Explanations Exacerbate It. In L. Longo (Ed.), Explainable Artificial Intelligence - 1st World Conference, xAI 2023, Proceedings: First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part II (1 ed., pp. 181-197). Springer Cham. https://doi.org/10.1007/978-3-031-44067-0_10
-
Wan, C. (2023). Timescales, Levels of Organization, and Multi-objective Agents. In ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference https://doi.org/10.1162/isal_a_00562
-
Wan, C., Zejnilović, L., & Lavado, S. (2023). How Differential Robustness Creates Disparate Impact: A European Case Study. In CEUR Workshop Proceedings (Vol. 3442) https://ceur-ws.org/Vol-3442/paper-22.pdf
-
Wan, C., Crisostomo Pereira Belo, R., & Zejnilović, L. (2022). Explainability's Gain is Optimality's Loss? — How Explanations Bias Decision-making. In AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (pp. 778-787). Association for Computing Machinery. https://doi.org/10.1145/3514094.3534156
Courses
Data Management & Ethics
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
- Code: BM02BAM
- Level: Master
Web Mining and Analytics
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMME140
- Level: Master, Master, Master, Master
BIM Master Thesis
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMMTBIM
- Level: Master
BIM Thesis Clinic
- Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020
- Code: BMRM1BIM
- Level: Master
Past courses
Web Mining and Analytics
- Study year: 2022/2023
- Code: BMME140-BAM
- Level: Master, Master, Master, Master
Network Analytics
- Study year: 2020/2021
- Code: BM13BAM
- ECTS: 6 Level: Master
Network Data Analytics
- Study year: 2020/2021
- Code: BMME014
- ECTS: 6 Level: Master, Master, Master, Master
