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DOI: 10.4230/DagRep.8.4.126
Towards Accountable Systems (Dagstuhl Seminar 18181)

Authors: David Eyers, Christopher Millard, Margo Seltzer, and Jatinder Singh

Published in: Dagstuhl Reports, Volume 8, Issue 4 (2018)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 18181 "Towards Accountable Systems", which took place from April 29th to May 4th, 2018, at Schloss Dagstuhl - Leibniz Center for Informatics. Researchers and practitioners from academia and industry were brought together covering broad fields from computer and information science, public policy and law. Many risks and opportunities were discussed that relate to the alignment of systems technologies with developing legal and regulatory requirements and evolving user expectations. This report summarises outcomes of the seminar by highlighting key future research directions and challenges that lie on the path to developing systems that better align with accountability concerns.
Cite as

David Eyers, Christopher Millard, Margo Seltzer, and Jatinder Singh. Towards Accountable Systems (Dagstuhl Seminar 18181). In Dagstuhl Reports, Volume 8, Issue 4, pp. 126-163, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{eyers_et_al:DagRep.8.4.126,
  author =	{Eyers, David and Millard, Christopher and Seltzer, Margo and Singh, Jatinder},
  title =	{{Towards Accountable Systems (Dagstuhl Seminar 18181)}},
  pages =	{126--163},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{8},
  number =	{4},
  editor =	{Eyers, David and Millard, Christopher and Seltzer, Margo and Singh, Jatinder},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.8.4.126},
  URN =		{urn:nbn:de:0030-drops-97633},
  doi =		{10.4230/DagRep.8.4.126},
  annote =	{Keywords: accountability, compliance, audit, systems, engineering, cloud computing, internet of things, law, regulation, GDPR, security, privacy, data provenanc}
}
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