Foundations of Artificial Intelligence and Machine Learning

Kurzanzeige
dc.contributor.authorFrüh, Alfred
dc.contributor.authorHaux, Dario
dc.date.accessioned2023-08-29T13:47:45Z
dc.date.available2023-08-29T13:47:45Z
dc.date.issued2022
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.en
dc.description.sponsorshipThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“)
dc.identifier.citationFrüh, A., & Haux, D. (2022). Foundations of Artificial Intelligence and Machine Learning (Weizenbaum Series, 29). Weizenbaum Institute. https://doi.org/10.34669/WI.WS/29
dc.identifier.doihttps://doi.org/10.34669/wi.ws/29
dc.identifier.eissn2748-5587
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/136
dc.identifier.zdb3064032-5
dc.language.isoeng
dc.publisherWeizenbaum Institute
dc.relation.ispartofseriesWeizenbaum Series
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectLawen
dc.subjectTechnology (Applied sciences)en
dc.subjectTechnology Assessmenten
dc.subjectLawen
dc.subjectartificial intelligenceen
dc.subjectlawen
dc.subjectnew technologyen
dc.subjectTechnik, Technologiede
dc.subjectRechtde
dc.subjectMachine Learningde
dc.subjectTechnikfolgenabschätzungde
dc.subjectRechtde
dc.subjectkünstliche Intelligenzde
dc.subjectRechtde
dc.subjectneue Technologiede
dc.subject.ddc600 Technik
dc.subject.ddc340 Recht
dc.subject.ddc300 Sozialwissenschaften
dc.subject.ddc004 Informatik
dc.titleFoundations of Artificial Intelligence and Machine Learning
dc.typeWorkingPaper
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.originalpublisherplaceBerlin
dcterms.bibliographicCitation.volume29
Dateien
Originalbündel
Gerade angezeigt 1 - 1 von 1
Vorschaubild
Name:
Weizenbaum_Series_29_2022_Frueh_et_al-Foundations_of_Artificial_Intelligence_and.pdf
Größe:
573.63 KB
Format:
Adobe Portable Document Format
Beschreibung:
Herunterladen
Sammlungen
Weizenbaum Discussion Paper