'AI THEORY OF JUSTICE': USING RAWLSIAN APPROACHES TO LEGISLATE BETTER ON MACHINE LEARNING IN GOVERNMENT. (2020)

Record Type:: Journal Article
Title:: 'AI THEORY OF JUSTICE': USING RAWLSIAN APPROACHES TO LEGISLATE BETTER ON MACHINE LEARNING IN GOVERNMENT. (2020)
Main Title:: 'AI THEORY OF JUSTICE': USING RAWLSIAN APPROACHES TO LEGISLATE BETTER ON MACHINE LEARNING IN GOVERNMENT
Authors:: GRACE, JAMIE
BAMFORD, ROXANNE
Is Part Of:: Amicus curiae. Volume 1:Number 3(2020)
Journal:: Amicus curiae
Issue:: Volume 1:Number 3(2020)
Issue Display:: Volume 1, Issue 3 (2020)
Year:: 2020
Volume:: 1
Issue:: 3
Issue Sort Value:: 2020-0001-0003-0000
Page Start:: 338
Page End:
Publication Date:: 2020
Subjects:: Law -- Great Britain -- Periodicals
349.41
Journal URLs:: http://journals.sas.ac.uk/amicus ↗
DOI:: ↗
Languages:: English
ISSNs:: 1461-2097
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library HMNTS - ELD Digital store
Ingest File:: 14657.xml