Transparency of algorithms in a context of open data: Which status for learning data? (notice n° 553979)

détails MARC
000 -LEADER
fixed length control field 01254cam a2200169 4500500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250121121328.0
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title fre
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Bourcier, Danièle
Relator term author
245 00 - TITLE STATEMENT
Title Transparency of algorithms in a context of open data: Which status for learning data?
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2018.<br/>
500 ## - GENERAL NOTE
General note 64
520 ## - SUMMARY, ETC.
Summary, etc. Public administration’s reliance on software algorithms brings the risk of obfuscating the factual and legal basis of administrative decisions. In accordance with the principles of open data, new rules have been introduced to preserve the transparency of algorithmic decisions, yet nothing has been said concerning the data that will influence these algorithms. This article investigates the issues stemming from the use of algorithms in the public administration, and underlines the need to guarantee not only access to the source code of these algorithms, but also access to the databases on which they have been trained.
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name De Filippi, Primavera
Relator term author
786 0# - DATA SOURCE ENTRY
Note Revue française d’administration publique | o 167 | 3 | 2018-12-20 | p. 525-537 | 0152-7401
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shs.cairn.info/journal-revue-francaise-d-administration-publique-2018-3-page-525?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-revue-francaise-d-administration-publique-2018-3-page-525?lang=en&redirect-ssocas=7080</a>

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