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Legal impact of robots in civil liability and taxation: What we know, trends and challenges

2020Conference object Open access
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dc.contributor.authorCebola, Cátia Marques
dc.contributor.authorSá, Cristina
dc.contributor.authorMartins, José Luís
dc.contributor.authorRamalho, Tiago Azevedo
dc.date.accessioned2022-07-06T09:36:57Z
dc.date.available2022-07-06T09:36:57Z
dc.date.issued2020
dc.description.abstractRobotics is an unavoidable reality in today's global society. Nevertheless, issues relating to the civil liability and taxation of robots still represent an important field of scientific research. According to the International Robotics Federation, 420,870 units of industrial robots were sold in 2019 and in Europe the average density of robots in industry was 14% per 10,000 employees in 2018. This study aims to analyse the legal concerns of robotization (introduction of robots in organizations) at civil and tax liability level. To this end, will be made a compilation of legal prescriptions which may undergo changes due to the progressive robotization in Portugal. Based on this legal compilation, will be studied which legal changes have to be introduced or if they are necessary, in order to produce a positive balance between the inevitable changes operated by robotization (e.g. reduction of current jobs, tax revenues decrease or responsibility disclaimer for possible damage caused by robots) versus the insurmountable need for tax revenue so that the State can continue to provide quality public services and implement public policies that are fundamental to the country's sustainable development. Legal regulation is the path outlined in the European Commission's White Paper on Artificial Intelligence presented on 19/02/2020, which supports a regulatory approach with a dual objective of promoting robotization and address the risks associated with certain uses of this new technology. Analysing how legislation at civil and tax liability level should serve to compensate and rebalance the impact of robotization in Portugal is the basis of this paper.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCebola, C.M., Sá, C., Martins, J.L., & Ramalho, T.A. (2020). Legal impact of robots in civil liability and taxation: What we know, trends and challenges. In H.N.R. Ribeiro, M.A.S. Costa & I. Cehok (Eds.), Books of proceedings of the 56th International Scientific Conference on Economic and Social Development (pp. 135-143).Varazdin Development and Entrepreneurship Agencypt_PT
dc.identifier.issn1849-7535
dc.identifier.urihttp://hdl.handle.net/10400.8/7338
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherVarazdin Development and Entrepreneurship Agencypt_PT
dc.subjectCivil liabilitypt_PT
dc.subjectLegal Impactpt_PT
dc.subjectRobotspt_PT
dc.subjectTaxationpt_PT
dc.titleLegal impact of robots in civil liability and taxation: What we know, trends and challengespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage143pt_PT
oaire.citation.startPage135pt_PT
oaire.citation.titleESD Conference - International Scientific Conference on Economic and Social Development, 56th, Aveiro, Portugal, July 2-3, 2020pt_PT
person.familyNameMarques Cebola
person.familyNameSá
person.familyNameMartins
person.familyNameAzevedo Ramalho
person.givenNameCátia Sofia
person.givenNameCristina
person.givenNameJosé
person.givenNameTiago
person.identifier.ciencia-id1C12-494A-D0BD
person.identifier.ciencia-idB91F-128A-F372
person.identifier.ciencia-idFA1B-6241-A508
person.identifier.ciencia-idFB1A-DD32-0825
person.identifier.orcid0000-0002-3584-0718
person.identifier.orcid0000-0001-7066-6121
person.identifier.orcid0000-0003-0524-420X
person.identifier.orcid0000-0001-7108-6049
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationa9302a26-59fb-4541-a1fe-f735d51d7c6c
relation.isAuthorOfPublicationee7ebb36-8413-4cb4-93d9-6fb158c0d605
relation.isAuthorOfPublication6760a168-c946-47eb-84ef-70cb1c637031
relation.isAuthorOfPublication.latestForDiscovery6760a168-c946-47eb-84ef-70cb1c637031

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