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Lea Katharina Kumkar, David Roth-Isigkeit, A criterion-based approach to GDPR’s explanation requirements for automated individual decision-making, 12 (2021) JIPITEC 289 para 1.

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%0 Journal Article
%T A criterion-based approach to GDPR’s explanation requirements for automated individual decision-making
%A Kumkar, Lea Katharina
%A Roth-Isigkeit, David
%J JIPITEC
%D 2021
%V 12
%N 4
%@ 2190-3387
%F kumkar2021
%X Automation of decision-making processes represents an essential element of the digital transformation. However, automated data processing based on machine learning methods poses increased threats to the fundamental rights of data subjects. One main reason for this is the fact that tracing and explaining the solution path responsible for a certain machine output requires high technical effort. The new European data protection law provides a framework for explanation requirements that apply to users of the new – automated – technologies. This article outlines the current state of discussion on explanation requirements for automated decisions and advocates a restrictive interpretation of the corresponding provisions in the GDPR.
%L 340
%K GDPR
%K artificial intelligence
%K automated individual decision-making
%K right to explanation
%U http://nbn-resolving.de/urn:nbn:de:0009-29-54034
%P 289-300

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Bibtex

@Article{kumkar2021,
  author = 	"Kumkar, Lea Katharina
		and Roth-Isigkeit, David",
  title = 	"A criterion-based approach to GDPR's explanation requirements for automated individual decision-making",
  journal = 	"JIPITEC",
  year = 	"2021",
  volume = 	"12",
  number = 	"4",
  pages = 	"289--300",
  keywords = 	"GDPR; artificial intelligence; automated individual decision-making; right to explanation",
  abstract = 	"Automation of decision-making processes represents an essential element of the digital transformation. However, automated data processing based on machine learning methods poses increased threats to the fundamental rights of data subjects. One main reason for this is the fact that tracing and explaining the solution path responsible for a certain machine output requires high technical effort. The new European data protection law provides a framework for explanation requirements that apply to users of the new -- automated -- technologies. This article outlines the current state of discussion on explanation requirements for automated decisions and advocates a restrictive interpretation of the corresponding provisions in the GDPR.",
  issn = 	"2190-3387",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-29-54034"
}

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RIS

TY  - JOUR
AU  - Kumkar, Lea Katharina
AU  - Roth-Isigkeit, David
PY  - 2021
DA  - 2021//
TI  - A criterion-based approach to GDPR’s explanation requirements for automated individual decision-making
JO  - JIPITEC
SP  - 289
EP  - 300
VL  - 12
IS  - 4
KW  - GDPR
KW  - artificial intelligence
KW  - automated individual decision-making
KW  - right to explanation
AB  - Automation of decision-making processes represents an essential element of the digital transformation. However, automated data processing based on machine learning methods poses increased threats to the fundamental rights of data subjects. One main reason for this is the fact that tracing and explaining the solution path responsible for a certain machine output requires high technical effort. The new European data protection law provides a framework for explanation requirements that apply to users of the new – automated – technologies. This article outlines the current state of discussion on explanation requirements for automated decisions and advocates a restrictive interpretation of the corresponding provisions in the GDPR.
SN  - 2190-3387
UR  - http://nbn-resolving.de/urn:nbn:de:0009-29-54034
ID  - kumkar2021
ER  - 
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Wordbib

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ISI

PT Journal
AU Kumkar, L
   Roth-Isigkeit, D
TI A criterion-based approach to GDPR’s explanation requirements for automated individual decision-making
SO JIPITEC
PY 2021
BP 289
EP 300
VL 12
IS 4
DE GDPR; artificial intelligence; automated individual decision-making; right to explanation
AB Automation of decision-making processes represents an essential element of the digital transformation. However, automated data processing based on machine learning methods poses increased threats to the fundamental rights of data subjects. One main reason for this is the fact that tracing and explaining the solution path responsible for a certain machine output requires high technical effort. The new European data protection law provides a framework for explanation requirements that apply to users of the new – automated – technologies. This article outlines the current state of discussion on explanation requirements for automated decisions and advocates a restrictive interpretation of the corresponding provisions in the GDPR.
ER

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Mods

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  <titleInfo>
    <title>A criterion-based approach to GDPR’s explanation requirements for automated individual decision-making</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Kumkar</namePart>
    <namePart type="given">Lea Katharina</namePart>
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  <name type="personal">
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    <namePart type="given">David</namePart>
  </name>
  <abstract>Automation of decision-making processes represents an essential element of the digital transformation. However, automated data processing based on machine learning methods poses increased threats to the fundamental rights of data subjects. One main reason for this is the fact that tracing and explaining the solution path responsible for a certain machine output requires high technical effort. The new European data protection law provides a framework for explanation requirements that apply to users of the new – automated – technologies. This article outlines the current state of discussion on explanation requirements for automated decisions and advocates a restrictive interpretation of the corresponding provisions in the GDPR.</abstract>
  <subject>
    <topic>GDPR</topic>
    <topic>artificial intelligence</topic>
    <topic>automated individual decision-making</topic>
    <topic>right to explanation</topic>
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Full Metadata

JIPITEC – Journal of Intellectual Property, Information Technology and E-Commerce Law
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