Details

Autor(en) / Beteiligte

• Ducato, Rossana
• Strowel, Alain

Titel

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

Ist Teil von

• IIC - International Review of Intellectual Property and Competition Law, 2019-07, Vol.50 (6), p.649-684

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2019

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This 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 on artificial intelligence innovation, because that requires improved access to data. There are thus various arguments for enhanced “machine legibility”. However, the TDM exceptions included in the recently approved Directive on Copyright in the Digital Single Market do not appear to clear the way for enhanced “machine legibility”. In relation to SDSs, we also argue that the principle of transparency, which is embedded in consumer and data protection laws, can serve as a last line of defence against prohibition of TDM.