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Accountable algorithms: adopting the public law toolbox outside the realm of public law

Abstract:

It is well known that artificial intelligence, especially machine learning, has the potential for hugely beneficial impacts on all areas of life, but also carries with it dangers such as lack of transparency, over-rigidity of decision-making, negative feedback loops and unreasonable inferences. Such dangers also have the potential to be scaled across a whole area of decisions. There is, therefore, an increasing sense that we need greater accountability of algorithmic decision-making systems a...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/clp/cuac008

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Institution:
University of Oxford
Division:
SSD
Department:
Law
Role:
Author
Publisher:
Oxford University Press
Journal:
Current Legal Problems More from this journal
Volume:
75
Issue:
1
Pages:
237-263
Publication date:
2022-11-07
Acceptance date:
2022-09-29
DOI:
EISSN:
2044-8422
ISSN:
0070-1998
Language:
English
Keywords:
Pubs id:
1280314
Local pid:
pubs:1280314
Deposit date:
2022-09-30

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