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dc.contributor.authorFrüh, Alfredde
dc.contributor.authorHaux, Dariode
dc.date.accessioned2022-07-22T11:26:06Z
dc.date.available2022-07-22T11:26:06Z
dc.date.issued2022de
dc.identifier.issn2748-5587de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/80203
dc.description.abstractToday, artificial intelligence and machine learning play a crucial role in various fields of application. In one way or another, they influence our everyday lives. This current state of affairs and the suggestive power of these terms have triggered fundamental discussions in society. However, the technical basics have not received the attention they deserve - and need. This is especially true from a legal perspective, where groundwork on both the fundamental functionality as well as all the relevant terms surrounding the technology seems to be almost non-existent. This paper aims to fill this gap. We examine the technical background of artificial intelligence and machine learning from an interdisciplinary perspective and aim to develop common definitions that can be used for further research in legal academia. These findings provide a common starting point for a more differentiated treatment of legal (and technical) questions surrounding artificial intelligence and machine learning and allow legal academia to make reliable legal statements as well as to advance legal research in this field.de
dc.languageende
dc.subject.ddcTechnik, Technologiede
dc.subject.ddcRechtde
dc.subject.ddcLawen
dc.subject.ddcTechnology (Applied sciences)en
dc.subject.otherMachine Learningde
dc.titleFoundations of Artificial Intelligence and Machine Learningde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.volume29de
dc.publisher.countryDEUde
dc.publisher.cityBerlinde
dc.source.seriesWeizenbaum Series
dc.subject.classozTechnology Assessmenten
dc.subject.classozTechnikfolgenabschätzungde
dc.subject.classozRechtde
dc.subject.classozLawen
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozRechtde
dc.subject.thesozneue Technologiede
dc.subject.thesozartificial intelligenceen
dc.subject.thesozlawen
dc.subject.thesoznew technologyen
dc.rights.licenceCreative Commons - Attribution 4.0en
dc.rights.licenceCreative Commons - Namensnennung 4.0de
ssoar.contributor.institutionWeizenbaum-Institutde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10043031
internal.identifier.thesoz10040087
internal.identifier.thesoz10053171
dc.type.stockmonographde
dc.type.documentArbeitspapierde
dc.type.documentworking paperen
dc.source.pageinfo25de
internal.identifier.classoz20800
internal.identifier.classoz40101
internal.identifier.document3
dc.contributor.corporateeditorWeizenbaum Institute for the Networked Society - The German Internet Institute
internal.identifier.corporateeditor1095
internal.identifier.ddc340
internal.identifier.ddc600
dc.identifier.doihttps://doi.org/10.34669/WI.WS/29de
dc.description.pubstatusErstveröffentlichungde
dc.description.pubstatusPrimary Publicationen
internal.identifier.licence16
internal.identifier.pubstatus5
internal.identifier.review2
internal.identifier.series1488
dc.subject.classhort40100de
dc.subject.classhort20800de
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede
ssoar.licence.fundThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII121, 16DII122, 16DII123, 16DII124, 16DII125, 16DII126, 16DII127, 16DII128 - "Deutsches Internet-Institut").


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