Semantic Scholar Open Access 2019 84 sitasi

Administrative law and the machines of government: judicial review of automated public-sector decision-making

Jennifer Cobbe

Abstrak

Abstract The future is likely to see an increase in the public-sector use of automated decision-making systems which employ machine learning techniques. However, there is no clear understanding of how English administrative law will apply to this kind of decision-making. This paper seeks to address the problem by bringing together administrative law, data protection law, and a technical understanding of automated decision-making systems in order to identify some of the questions to ask and factors to consider when reviewing the use of these systems. Due to the relative novelty of automated decision-making in the public sector, this kind of study has not yet been undertaken elsewhere. As a result, this paper provides a starting point for judges, lawyers, and legal academics who wish to understand how to legally assess or review automated decision-making systems and identifies areas where further research is required.

Topik & Kata Kunci

Penulis (1)

J

Jennifer Cobbe

Format Sitasi

Cobbe, J. (2019). Administrative law and the machines of government: judicial review of automated public-sector decision-making. https://doi.org/10.1017/lst.2019.9

Akses Cepat

Lihat di Sumber doi.org/10.1017/lst.2019.9
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
84×
Sumber Database
Semantic Scholar
DOI
10.1017/lst.2019.9
Akses
Open Access ✓