Literature DB >> 30082305

Algorithm-assisted decision-making in the public sector: framing the issues using administrative law rules governing discretionary power.

Marion Oswald1.   

Abstract

This article considers some of the risks and challenges raised by the use of algorithm-assisted decision-making and predictive tools by the public sector. Alongside, it reviews a number of long-standing English administrative law rules designed to regulate the discretionary power of the state. The principles of administrative law are concerned with human decisions involved in the exercise of state power and discretion, thus offering a promising avenue for the regulation of the growing number of algorithm-assisted decisions within the public sector. This article attempts to re-frame key rules for the new algorithmic environment and argues that 'old' law-interpreted for a new context-can help guide lawyers, scientists and public sector practitioners alike when considering the development and deployment of new algorithmic tools.This article is part of a discussion meeting issue 'The growing ubiquity of algorithms in society: implications, impacts and innovations'.
© 2018 The Author(s).

Entities:  

Keywords:  algorithms; law; predictions; public sector

Mesh:

Year:  2018        PMID: 30082305     DOI: 10.1098/rsta.2017.0359

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

1.  The long arm of the algorithm? Automated Facial Recognition as evidence and trigger for police intervention.

Authors:  Kyriakos N Kotsoglou; Marion Oswald
Journal:  Forensic Sci Int       Date:  2020-01-13       Impact factor: 2.395

2.  The growing ubiquity of algorithms in society: implications, impacts and innovations.

Authors:  S C Olhede; P J Wolfe
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-09-13       Impact factor: 4.226

  2 in total

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