Guitton, C., Tamo-Larrieux, A., Mayer, S., & van Dijck, G. (2024). The challenge of open-texture in law. Artificial Intelligence and Law, 1-31. Advance online publication. https://doi.org/10.1007/s10506-024-09390-1
Guitton, C., Mayer, S., Tamò-Larrieux, A., Garcia, K., & Fornara, N. (2024). A Proxy for Assessing the Automatic Encodability of Regulation. In CSLAW 2024 - Proceedings of the 3rd Symposium on Computer Science and Law (pp. 121-131). Association for Computing Machinery (ACM). https://doi.org/10.1145/3614407.3643697
Guitton, C., Mayer, S., Tamo-Larrieux, A., Van Landuyt, D., Fosch-Villaronga, E., Kamara, I., & Palka, P. (2024). Responsible automatically processable regulation. AI and Society, 1-16. Advance online publication. https://doi.org/10.1007/s00146-024-01901-7
Tamo-Larrieux, A., Guitton, C., Mayer, S., & Lutz, C. (2023). Regulating for trust: Can law establish trust in artificial intelligence?Regulation & Governance. Advance online publication. https://doi.org/10.1111/rego.12568
Tamo - Larrieux, A., Guitton, C., & Mayer, S. (2023). Mapping the Issues of Automated Legal Systems: Why Worry About Automatically Processable Regulation?Artificial Intelligence and Law, 31(3), 571-599. https://doi.org/10.1007/s10506-022-09323-w
Guitton, C., Tamo - Larrieux, A., Mayer, S., Ashley, K., Grabmaier, M., Sartor, G., Sartor, G., & van Dijck, G. (2023). Pervasive Computational Law. Ieee Pervasive Computing, 22(3), 48-51. https://doi.org/10.1109/MPRV.2023.3254959
Tamo-Larrieux, A., Ciortea, A., & Mayer, S. (2022). Machine Capacity of Judgment: An interdisciplinary approach for making machine intelligence transparent to end-users. Technology in Society, 71, Article 102088. https://doi.org/10.1016/j.techsoc.2022.102088
Guitton, C., Tamò-Larrieux, A., & Mayer, S. (2022). A typology of automatically processable regulation. Law Innovation and Technology, 14(2), 267-304. https://doi.org/10.1080/17579961.2022.2113668
