Projects funded by the NCN
The Understandability Requirement of Machine Learning Systems Used in the Application of Law
2022/45/N/HS5/00871
Keywords:
right to a fair trail decision justification XAI machine learning explainability philosophy of law
Descriptors:
- HS5_1: Theory and philosophy of law, history of law and legal thought
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
- HS5_2: Constitutional law, human rights, international law and international organizations
Panel:
HS5 - Norms and governance: law, political studies, regional and social policies
Host institution :
Uniwersytet Jagielloński, Wydział Prawa i Administracji
woj.
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 21 - announced on 2022-03-28
Amount awarded: 200 369 PLN
Project start date (Y-m-d): 2023-01-17
Project end date (Y-m-d): 2026-01-16
Project duration:: 36 months (the same as in the proposal)
Project status: Pending project
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Book publications / chapters in book publications (1)
- Machine learning and lawAuthors:Andrzej PorębskiBook:Research Handbook on Law and Technology (rok: 2023, tom: Research Handbook on Law and Technology, strony: 450–467), Wydawca: Edward ElgarStatus:PublishedDOI:10.4337/9781803921327.00037 - link to the publication