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Setting future ethical standards for ICT, Big Data, AI and robotics: The contribution of three European projects
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Centre for Research Ethics and Bioethics.
Universidad del País Vasco.
University of Twente .
De Montfort University .
2019 (English)In: Orbit Journal, ISSN 2515-8562, Vol. 2019, no 1Article in journal, Editorial material (Other academic) Published
Abstract [en]

Policymakers struggle to assess the ethical, legal and human rights impacts of IT systems in research, industry, and at home. At the same time, research needs to be useful for industry, academia, and society to have impact on policy. Right now, three European projects: PANELFIT, SHERPA and SIENNA, are working together with stakeholders to improve ethical, human rights and legal frameworks for information and communication technologies (ICT), big data analytics, artificial intelligence (AI) and robotics. Stakeholder involvement is key, and the outputs will support the European Union’s vision of Responsible Research and Innovation (RRI), as a means to foster the design of inclusive research and innovation. Here, we provide a short introduction to the projects and outline plans for collaboration with the aim to maximise our joint policy impact.

Place, publisher, year, edition, pages
2019. Vol. 2019, no 1
Keywords [en]
Artificial Intelligence, Big Data, ICT, Information and communication technologies, Data Sharing, Ethics, Law, Human Rights
National Category
Ethics Medical Ethics
Research subject
Ethics
Identifiers
URN: urn:nbn:se:uu:diva-388909DOI: 10.29297/orbit.v2019i1.115OAI: oai:DiVA.org:uu-388909DiVA, id: diva2:1335841
Funder
EU, Horizon 2020, 741716Available from: 2019-07-08 Created: 2019-07-08 Last updated: 2020-02-21Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf