Revolutionizing Scholarship: A Panel Discussion on Text and Data Mining

Bernhardt, Beth; Herndon, Joel; Herron, Patrick; Smith, Kevin L.; Strong, Roger; Miller, Hillary

doi:10.1080/00987913.2015.1064514

Cited by 4 publications

(2 citation statements)

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“…7 Ibid. ; Bernhardt et al 2015;Caspers and Guibault 2016a;Margoni and Dore 2016;Stamatoudi 2016;Hilty and Richter 2017;Geiger et al 2018;Margoni and Kretschmer 2018;Rosati 2018. 8 On the crucial need to train algorithms on different datasets, see Hall and Pesenti 2017.…”

Section: Introductionmentioning

confidence: 99%

Limitations to Text and Data Mining and Consumer Empowerment: Making the Case for a Right to “Machine Legibility”

Ducato

Strowel

2019

IIC

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The CRIDES, Centre de recherche interdisciplinaire Droit Entreprise et Société, aims at investigating, on the one hand, the role of law in the enterprise and, on the other hand, the function of the enterprise within society. The centre, based at the Faculty of Law -UCLouvain, is formed by four research groups: the research group in economic law, the research group in intellectual property law, the research group in social law (Atelier SociAL), and the research group in tax law.

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Section: Introductionmentioning

confidence: 99%

Limitations to Text and Data Mining and Consumer Empowerment: Making the Case for a Right to “Machine Legibility”

Ducato

Strowel

2019

IIC

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“…Ibid. ;Bernhardt et al 2015;Caspers and Guibault 2016a;Margoni and Dore 2016;Stamatoudi 2016;Hilty and Richter 2017;Geiger et al 2018;Margoni and Kretschmer 2018; Rosati 2018. 8 On the crucial need to train algorithms on different datasets, seeHall and Pesenti 2017.…”

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confidence: 99%

Limitations to Text and Data Mining and Consumer Empowerment. Making the Case for a Right to “Machine Legibility”

Ducato¹,

Strowel²

2020

Preprint

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The paper focuses on the current legal barriers to text and data mining (TDM) in the context of smart disclosure systems (SDSs) whose aim is to provide consumers with improved access to the data needed to make informed decisions. The use of intellectual property rights and contracts, combined with technological protection measures, can hinder TDM and the deployment of SDSs.Further, those legal constraints can negatively impact artificial intelligence innovation that requires improved access to data. There are thus various arguments for enhanced “machine legibility”.However, the TDM exception included in the draft Copyright in the DSM Directive and the various amendments proposed by the European Parliament or the Council do not appear to clear the way for enhanced “machine legibility”. In relation to SDSs, we also argue that the principle of transparency, embedded in consumer and data protection laws, can serve as a last line of defence against prohibition of TDM.

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Limitations to Text and Data Mining and Consumer Empowerment: Making the Case for a Right to Machine Legibility

Ducato

Strowel

2018

SSRN Journal

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Revolutionizing Scholarship: A Panel Discussion on Text and Data Mining

Cited by 4 publications

References 0 publications

Limitations to Text and Data Mining and Consumer Empowerment: Making the Case for a Right to “Machine Legibility”

Limitations to Text and Data Mining and Consumer Empowerment: Making the Case for a Right to “Machine Legibility”

Limitations to Text and Data Mining and Consumer Empowerment. Making the Case for a Right to “Machine Legibility”

Limitations to Text and Data Mining and Consumer Empowerment: Making the Case for a Right to Machine Legibility

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