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dc.contributor.authorGriffin, J
dc.contributor.authorNoussia, K
dc.contributor.authorNedeva, S
dc.contributor.authorZervoudakis, S
dc.contributor.authorLux, J
dc.contributor.authorMcNamara, J
dc.date.accessioned2023-10-16T07:53:04Z
dc.date.issued2023-10-26
dc.date.updated2023-10-14T10:38:28Z
dc.description.abstractArtificial Intelligence (AI) has been the subject of much discussion in terms of its applicability to law. This paper focuses on the use of AI in copyright arbitration and dispute resolution for three-dimenisonal (3D) printing. Its main argument is that laws relating to digital watermarking will push the utilisation of AI in such alternative dispute resolution methods, be it arbitration or mediation, in a particular direction, i.e., one that favours more complex watermarking and the use of AI in automatically resolving disputes, through alternative dispute resolution methods, i.e. arbitration and/or mediation. In order to make this argument, our article follows the below structure: first we focus our discussion on the existing laws relating to digital watermarks – making the point that the more complex the watermark placed in content, the more likely it is to obtain protection. Furthermore, due to the fact that even AI systems themselves may fall under the purview of such protection, hence, as part of this paper, we then undertook funded empirical work to apply an existing AI system to copyright case law, to see how an AI system can read and understand cases and produce outcomes in disputes concerning 3D printing. The result of this was that it is clear that more complex watermarks will lead to faster and more accurate resolutions. Following that , we then consider the existing legal regime for dispute resolution, through alternative dispute resolution methods (be it arbitration and/or mediation), and make the contention that AI systems can fit within the existing legal framework. However, we have concluded that certain issues are raised which we feel should merit closer attention. For example, there should be more explicit consideration in law of how watermarking can influence the direction of AI dispute resolution, through alternative dispute resolution methods and that the role of the judge in such AI dispute resolution methods needs to be considered further.en_GB
dc.description.sponsorshipEconomic and Social Research Council (ESRC)en_GB
dc.identifier.citationVol. 14 (2)en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134259
dc.identifierORCID: 0000-0003-1778-7455 (Griffin, James)
dc.publisherEuropean Journal of Law and Technologyen_GB
dc.relation.urlhttps://ejlt.org/index.php/ejlt/article/view/970
dc.rights© The Author(s). Open access. Authors who publish with EJLT will retain copyright and moral rights in the underlying work but will grant all users the rights to copy, store and print for non-commercial use copies of their work. Commercial mirroring may also be carried out with the consent of the journal. The work must remain as published – without redaction or editing – and must clearly state the identity of the author and the originating EJLT url of the article. Any commercial use of the author’s work - apart from mirroring - requires the permission of the author and any aspects of the article which are the property of EJLT (e.g. typographical format) requires permission from EJLT.en_GB
dc.subjectArtificial Intelligenceen_GB
dc.subjectNatural Language Programmingen_GB
dc.subjectArbitrationen_GB
dc.subjectDispute Resolutionen_GB
dc.titleArtificial Intelligence and Digital Watermarking will Transform Copyright Arbitration and Dispute Resolution for 3D Printing: An Empirical Analysisen_GB
dc.typeArticleen_GB
dc.date.available2023-10-16T07:53:04Z
dc.descriptionThis is the final version. Available on open access from the European Journal of Law and Technology via the link in this recorden_GB
dc.identifier.journalEuropean Journal of Law and Technologyen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2023-10-13
dcterms.dateSubmitted2023-10-13
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-10-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-10-14T10:38:29Z
refterms.versionFCDAM
refterms.dateFOA2023-12-21T14:44:58Z
refterms.panelCen_GB


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