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The ethical and legal challenges of recommender systems driven by artificial intelligence

dc.contributor.authorMagrani, Eduardo
dc.contributor.authorSilva, Paula Guedes Fernandes da
dc.date.accessioned2024-01-17T18:20:52Z
dc.date.available2024-01-17T18:20:52Z
dc.date.issued2024
dc.description.abstractIn a hyperconnected world, recommendation systems (RS) are one of the most widespread commercial applications of artificial intelligence (AI), initially mostly used for e-commerce, but already widely applied to different areas, for instance, content providers and social media platforms. Due to the current information overload, these systems are designed mainly to help individuals dealing with the infinity of options available, in addition to optimizing companies’ profits by offering products and services that directly meet the needs of their customers. However, despite its benefits, RS based on AI may also create detrimental effects—sometimes unforeseen—for users and society, especially for vulnerable groups. Constant tracking of users, automated analysis of personal data to predict and infer behaviours, preferences, future actions and characteristic, the creation of behavioural profiles and the microtargeting for personalized recommendations may raise relevant ethical and legal issues, such as discriminatory outcomes, lack of transparency and explanation of algorithmic decisions that impact people’s lives and unfair violations of privacy and data protection. This article aims to address these issues, through a multisectoral, multidisciplinary and human rights’-based approach, including contributions from the Law, ethics, technology, market, and society.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-031-41264-6_8pt_PT
dc.identifier.eid85180717843
dc.identifier.isbn9783031412639
dc.identifier.isbn9783031412660
dc.identifier.isbn9783031412646
dc.identifier.urihttp://hdl.handle.net/10400.14/43675
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectData protectionpt_PT
dc.subjectEthicspt_PT
dc.subjectHuman rightspt_PT
dc.subjectRecommendation systemspt_PT
dc.subjectRegulationpt_PT
dc.titleThe ethical and legal challenges of recommender systems driven by artificial intelligencept_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage168pt_PT
oaire.citation.startPage141pt_PT
oaire.citation.titleMultidisciplinary perspectives on artificial intelligence and the lawpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT

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