Obligatory Papers
The seven papers from the official reading list (student manual). All are linked below except Wang (2023), which is paywalled.
| # | Lecture | Paper | |
|---|---|---|---|
| 1 | L1 | Elliott, Price, Shaw et al. (2021). Towards an Equitable Digital Society: AI and Corporate Digital Responsibility (CDR). Society 58, 179–188. | |
| 2 | L2 | Palada, Neal, Vuckovic, Russell, Samuels & Heathcote (2016). Evidence accumulation in a complex task. J. Exp. Psychol.: Applied 22(1), 1–23. | |
| 3 | L3 | Rahwan, Cebrian, Obradovich et al. (2019). Machine behaviour. Nature 568, 477–486. | |
| 4 | L4 | Douven & Hegselmann (2021). Mis- and disinformation in a bounded confidence model. Artificial Intelligence 291, 103415. | |
| 5 | L5 | van der Vegt, Kleinberg & Gill (2023). Proceed with caution: on the use of computational linguistics in threat assessment. J. Policing, Intelligence and Counter Terrorism 18(2), 231–239. | |
| 6 | L6 | Wang, He, Li, Tang, Li, Xia & Lv (2023). Data information processing of traffic digital twins in smart cities using edge intelligent federation learning. Information Processing & Management 60(1), 103171. | 🔒 DOI |
| 7 | L7 | Grimmelikhuijsen & Meijer (2022). Legitimacy of Algorithmic Decision-Making: Six Threats and the Need for a Calibrated Institutional Response. Perspectives on Public Management and Governance 5(3), 232–242. |