Towards European Anticipatory Governance for Artificial Intelligence

[collection]

dc.contributor.editor	Kolliarakis, Georgios	de
dc.contributor.editor	Hermann, Isabella	de
dc.date.accessioned	2020-08-19T10:46:32Z
dc.date.available	2020-08-19T10:46:32Z
dc.date.issued	2020	de
dc.identifier.issn	1866-9182	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/69231
dc.description.abstract	This report presents the findings of the Interdisciplinary Research Group “Responsibility: Machine Learning and Artificial Intelligence” of the Berlin-Brandenburg Academy of Sciences and Humanities and the Technology and Global Affairs research area of DGAP. In September 2019, they brought leading experts from research and academia together with policy makers and representatives of standardization authorities and technology organizations to set framework conditions for a European anticipatory governance regime for artificial intelligence (AI).	de
dc.description.tableofcontents	Key Proposals; Interview Clips; Dimensions of AI Governance; Introduction; Codes of Conduct and Ethics; Norms, Standardization, and Certification in Research and Innovation; National, European, and International Legislation, Treaties, and Agreements; Fostering the European Capacity to Act 14 in AI through Governance; Think Pieces: Eleonore Pauwels: Converging Risks: the UN and Cyber-AI Prevention; Miltos Ladikas: Technology Assessment in Artificial Intelligence; Claudia Mrotzek: Governance for Artificial Intelligence; Raimond Kaljulaid: The Dangers and Benefits of Legislation on Artificial Intelligence; Paul Lukowicz: The Challenge of Human-Centric AI; Ramak Molavi Vasse’i: We Need a Moratorium on the Use of AI in Critical Impact Areas; Thomas Metzinger: Towards a Global Artificial Intelligence Charter; Robert Gianni: Anticipatory Governance for Artificial Intelligence and Robotics; Mika Nieminen: RRI Experiences for the Implementation of AI Ethics; Katharina Sehnert: The Value-added of Norms and Standards for Artificial Intelligence; Wei Wei: Artificial Intelligence Standardization Efforts at International Level; Frauke Rostalski, Markus Gabriel, Stefan Wrobel: KI.NRW - Project for the Certification of AI Applications.	de
dc.language	en	de
dc.title	Towards European Anticipatory Governance for Artificial Intelligence	de
dc.description.review	begutachtet	de
dc.description.review	reviewed	en
dc.source.volume	9	de
dc.publisher.country	DEU
dc.publisher.city	Berlin	de
dc.source.series	DGAP Report
dc.subject.thesoz	künstliche Intelligenz	de
dc.subject.thesoz	artificial intelligence	en
dc.subject.thesoz	Verantwortung	de
dc.subject.thesoz	responsibility	en
dc.subject.thesoz	Governance	de
dc.subject.thesoz	governance	en
dc.subject.thesoz	Ethik	de
dc.subject.thesoz	ethics	en
dc.subject.thesoz	Technikfolgenabschätzung	de
dc.subject.thesoz	technology assessment	en
dc.subject.thesoz	Gesetzgebung	de
dc.subject.thesoz	legislation	en
dc.subject.thesoz	Charta	de
dc.subject.thesoz	charter	en
dc.subject.thesoz	Norm	de
dc.subject.thesoz	standard	en
dc.identifier.urn	urn:nbn:de:0168-ssoar-69231-6
dc.rights.licence	Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0	de
dc.rights.licence	Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0	en
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10043031
internal.identifier.thesoz	10057756
internal.identifier.thesoz	10054891
internal.identifier.thesoz	10038485
internal.identifier.thesoz	10060023
internal.identifier.thesoz	10036234
internal.identifier.thesoz	10040239
internal.identifier.thesoz	10042763
dc.type.stock	collection	de
dc.type.document	Sammelwerk	de
dc.type.document	collection	en
dc.source.pageinfo	59	de
internal.identifier.document	24
dc.contributor.corporateeditor	Forschungsinstitut der Deutschen Gesellschaft für Auswärtige Politik e.V.
internal.identifier.corporateeditor	108
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	20
internal.identifier.pubstatus	1
internal.identifier.review	2
internal.identifier.series	1537
internal.pdf.wellformed	true
internal.pdf.encrypted	false

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